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5.1: Intro to Week 5: Text Analysis and Word Counting - Programming with Text
 
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Week 5 of Programming from A to Z focuses on about text-analysis and word counting. In this introduction, I discuss different how word counting and text analysis can be used in a creative coding context. I give an overview of the topics I will cover in this series of videos. Next Video: https://youtu.be/_5jdE6RKxVk http://shiffman.net/a2z/text-analysis/ Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: Rune Madsen's Programming Design Systems: http://printingcode.runemadsen.com/ Concordance on Wikipedia: https://en.wikipedia.org/wiki/Concordance_(publishing) Rune Madsen's Speech Comparison: https://runemadsen.com/work/speech-comparison/ Sarah Groff Hennigh-Palermo's Book Book: http://www.sarahgp.com/projects/book-book.html Stephanie Posavec: http://www.stefanieposavec.co.uk/ James W. Pennebaker's The Secret Life of Pronouns: http://www.secretlifeofpronouns.com/ James W. Pennebaker's TedTalk: https://youtu.be/PGsQwAu3PzU ITP from Tisch School of the Arts: https://tisch.nyu.edu/itp Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/WuMg/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Views: 18890 The Coding Train
Stemming words from a sentence for text analysis - NLTK Python in Hindi #6
 
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Text Tutorial + Source Code - http://mycodingzone.net/videos/hindi/nlp-hindi-tutorial-6
How to perform disambiguation of words with WordStat - Content Analysis and Text Mining Software
 
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Learn how to perform disambiguation with WordStat using phrases or rules.
Stopwords - How to remove stop words from a sentence for text analysis - NLTK Python in Hindi #5
 
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Text Tutorial + Source Code - http://mycodingzone.net/videos/hindi/nlp-hindi-tutorial-5
The OED and historical text collections: discovering new words
 
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Dr Tanja Säily, tenure-track assistant professor in English Language at the University of Helsinki, and Dr Eetu Mäkelä, tenure-track assistant professor in Human Sciences–Computing Interaction at the University of Helsinki, presented their research on neologism use in the Corpus of Early English Correspondence and how the OED, as well as large historical text collections, are semi-automatically consulted within the project. Dr Säily and Dr Mäkelä provided an overview of the project and the possibilities of using the OED in digital humanities research in general. This session covered: · An overview of the neologism research project, with examples of new vocabulary and its social embedding in the Corpus of Early English Correspondence · Semi-automatic workflows for moving between the OED and historical text collections · Building a pipeline from the corpus, through automated spelling normalization, lemmatization, filtering, comparison, and analysis to results · The barriers faced with regard to historical spelling variation, noise from optical character recognition and material bias · A discussion of the solutions applied, including statistical and neural machine translation, look-ups against comparison corpora and user interfaces for manual checking of results · What the researchers wished they knew before they started · What the future looks like for this and other projects using the OED · Q&A session Who is this talk for? · Researchers working in similar projects – using the OED or not · Anyone interested in historical sociolinguistics, historical lexicology, or historical lexicography · People interested in the complexities of applying computational methods to historical data
How to - Online word counter, Word Analysis, Frequency of Words
 
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Word Analysis Online word counte help you stop over-using words in your documents. You can use this online word counter to not just count words but also determine the frequency count of keywords in text which is good for optimizing your web pages for SEO. This online counting tool is great for essays, PDFs and just about any kind of document where you can paste the text info into the box below. The most recent versions of Microsoft Word has this functionality built in: open a Word Doc and choose "Review" from the top menu and the word count button is on the left hand side.
Views: 754 Relax With Beauty
Inside Cornell: Analyzing the words of psychopaths
 
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Using computerized text analysis, Cornell professor of communication Jeff Hancock and colleagues at the University of British Columbia found that psychopathic criminals tend to make identifiable word choices when talking about their crimes. Hancock and UBC professor of psychology Michael Woodworth discussed the implications of their study at the October 17, 2011 Inside Cornell session at Cornell's ILR Conference Center in Midtown Manhattan.
Views: 318994 Cornell University
Sherlock: How To Film Thought
 
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Get 10% any purchase here: http://squarespace.com/nerdwriter HELP ME MAKE MORE VIDEOS: http://www.patreon.com/nerdwriter ASK ME QUESTIONS HERE: http://thenerdwriter.tumblr.com TWITTER: https://twitter.com/TheeNerdwriter Email me here: [email protected]
Views: 2319470 Nerdwriter1
Mobile text analysis with Textal
 
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Researchers from the National Centre for Research Methods (NCRM) and the University College London have developed a text analysis iPhone app called Textal. The term text analytics describes a set of linguistic, statistical, and machine learning techniques that model and structure the information content of textual sources for business intelligence, exploratory data analysis, research, or investigation. Textal app allows you to create wordclouds from your favourite text, website, tweet stream, or document. Textal then allows you to interact with the wordcloud, to drill down further and explore the statistics and the relationships between words in the text. Textal project is part of the NCRM and UCL Digital Humanities programmes, and you can find more info in http://www.textal.org/ Filming and editing by João Retorta. Music by Sérgio Faria. Find out more about the National Centre for Research Methods (NCRM) in http://www.ncrm.ac.uk
Views: 541 NCRMUK
Introduction to Language Analysis:  Interesting Words
 
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First flipped lesson to watch outside of class. This lesson focuses on an introduction to language analysis questions. This is Q3 on paper 1 and Q4 on Paper 2. 1:48 Interesting words Task 1 3:58 Spotting interesting words in a text 8:00 Audio book option https://www.youtube.com/watch?v=xsEnKH9eDGk
Views: 3 GCSE English
The Long Road from Text to Meaning
 
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Google Tech Talks May 3, 2007 ABSTRACT Computers have given us a new way of thinking about language. Given a large sample of language, or corpus, and computational tools to process it, we can approach language as physicists approach forces and chemists approach chemicals. This approach is noteworthy for missing out what, from a language-user's point of view, is important about a piece of language: its meaning. I shall present this empiricist approach to the study of language and show how, as we develop accurate tools for lemmatisation, part-of-speech tagging and parsing, we move from the raw input -- a character stream -- to an analysis of that stream in increasingly rich terms: words, lemmas, grammatical structures, Fillmore-style frames. Each step on the journey builds on a large corpus accurately analysed at the previous levels. A distributional thesaurus provides generalisations about lexical behaviour which can then feed into an analysis at the ‘frames' level. The talk will be illustrated with work done within the ‘Sketch Engine' tool. For much NLP and linguistic theory, meaning is a given. Thus formal semantics assumes meanings for words, in order to address questions of how they combine, and WSD (word sense disambiguation) typically takes a set of meanings (as found in a dictionary) as a starting point and sets itself the challenge of identifying which meaning applies. But, since the birth of philosophy, meaning has been problematic. In our approach meaning is an eventual output of the research programme, not an input. Speaker: Adam Kilgarriff Adam Kilgarriff is a research scientist working at the intersection of computational linguistics, corpus linguistics, and dictionary-making. Following a PhD on "Polysemy" from Sussex University, he has worked at Longman Dictionaries, Oxford University Press, and the University of Brighton, and is now Director of two companies, Lexicography MasterClass (http://www.lexmasterclass.com) and Lexical Computing Ltd (http://www.sketchengine.co.uk/) which provide software, training and consultancy in the research areas. Google engEDU Speaker: Adam Kilgarriff
Views: 4256 GoogleTalksArchive
Qualitative analysis of interview data: A step-by-step guide
 
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The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *the interviewee explicitly states that it is important; *you have read about something similar in reports, e.g. scientific articles; *it reminds you of a theory or a concept; *or for some other reason that you think is relevant. You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you. It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds. STEP 3, decide which codes are the most important, and create categories by bringing several codes together 3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand. 3.2. You can create new codes by combining two or more codes. 3.3. You do not have to use all the codes that you created in the previous step. 3.4. In fact, many of these initial codes can now be dropped. 3.5. Keep the codes that you think are important and group them together in the way you want. 3.6. Create categories. (You can call them themes if you want.) 3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever. 3.8. Be unbiased, creative and open-minded. 3.9. Your work now, compared to the previous steps, is on a more general, abstract level. You are conceptualizing your data. STEP 4, label categories and decide which are the most relevant and how they are connected to each other 4.1. Label the categories. Here are some examples: Adaptation (Category) Updating rulebook (sub-category) Changing schedule (sub-category) New routines (sub-category) Seeking information (Category) Talking to colleagues (sub-category) Reading journals (sub-category) Attending meetings (sub-category) Problem solving (Category) Locate and fix problems fast (sub-category) Quick alarm systems (sub-category) 4.2. Describe the connections between them. 4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study. STEP 5, some options 5.1. Decide if there is a hierarchy among the categories. 5.2. Decide if one category is more important than the other. 5.3. Draw a figure to summarize your results. STEP 6, write up your results 6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results. 6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example: *results from similar, previous studies published in relevant scientific journals; *theories or concepts from your field; *other relevant aspects. STEP 7 Ending remark Nb: it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.) Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze: *notes from participatory observations; *documents; *web pages; *or other types of qualitative data. STEP 8 Suggested reading Alan Bryman's book: 'Social Research Methods' published by Oxford University Press. Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE. Text and video (including audio) © Kent Löfgren, Sweden
Views: 796291 Kent Löfgren
How Donald Trump Answers A Question
 
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HELP ME MAKE MORE VIDEOS: http://www.patreon.com/nerdwriter VISIT WISECRACK HERE: http://bit.ly/1xPTaB7 TUMBLR: http://thenerdwriter.tumblr.com TWITTER: https://twitter.com/TheeNerdwriter Email me here: [email protected] SOURCES: Barton Swaim, “How Donald Trump’s language works for him” (via The Washington Post) September 15, 2015 https://www.washingtonpost.com/news/the-fix/wp/2015/09/15/how-trump-speak-has-pushed-the-donald-into-first-place/ Emily Atkin, “What Language Experts Find So Strange About Donald Trump” (via ThinkProgress) 2015 http://thinkprogress.org/politics/2015/09/15/3701215/donald-trump-talks-funny-2/ Matt Viser, “For presidential hopefuls, simpler language resonates” (via The Boston Globe) October 20, 2015 https://www.bostonglobe.com/news/politics/2015/10/20/donald-trump-and-ben-carson-speak-grade-school-level-that-today-voters-can-quickly-grasp/LUCBY6uwQAxiLvvXbVTSUN/story.html Jack Shafer, “Donald Trump Talks Like a Third-Grader” (via Politico) 2015 http://www.politico.com/magazine/story/2015/08/donald-trump-talks-like-a-third-grader-121340 ALL THE MUSIC COMES FROM HERE: https://soundcloud.com/bluewednesday
Views: 9019403 Nerdwriter1
Coding Challenge #44.1: AFINN-111 Sentiment Analysis - Part 1
 
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This is Part 1 of a two-part Coding Challenge on Sentiment Analysis with the AFINN-111 word list. In this video, I explain what the AFINN-111 is and how to convert Tab Separated Values (.tsv) data into JSON data. This video is part of Session 8 of the "Programming from A to Z" ITP class. Link to Part 2: https://youtu.be/VV1JmMYceJw Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: AFINN: http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010 Node.js: https://nodejs.org/ Express.js: http://expressjs.com/ p5.js: https://p5js.org/ GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/0siX/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Views: 22110 The Coding Train
Lecture: «Sentiment analysis beyond bags of words»
 
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Date: September 28th 2016 - 12:00 to 13:30 Speaker: Maite Taboada (Simon Fraser University - Vancouver) Place: CiTIUS Assembly Hall More information: https://citius.usc.es/e/1278
Rapping, deconstructed: The best rhymers of all time
 
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Here's how some of the greatest rappers make rhymes. Help us make more ambitious videos by joining the Vox Video Lab. It gets you exclusive perks, like livestream Q&As with all the Vox creators, a badge that levels up over time, and video extras bringing you closer to our work! Learn more at http://bit.ly/video-lab SPOTIFY PLAYLIST: https://open.spotify.com/user/estellecaswell/playlist/5KpHR1UysAms2zssDHeSbZ Subscribe to our channel! http://goo.gl/0bsAjO Vox.com is a news website that helps you cut through the noise and understand what's really driving the events in the headlines. Check out http://www.vox.com to get up to speed on everything from Kurdistan to the Kim Kardashian app. Check out our full video catalog: http://goo.gl/IZONyE Follow Vox on Twitter: http://goo.gl/XFrZ5H Or on Facebook: http://goo.gl/U2g06o
Views: 8721096 Vox
13.4: Word Counting - Processing Tutorial
 
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This video covers the fundamentals of text analysis with word counting algorithms. Book: Learning Processing A Beginner's Guide to Programming, Images,Animation, and Interaction http://learningprocessing.com/ Twitter: https://twitter.com/shiffman Help us caption & translate this video! http://amara.org/v/Qbwm/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Views: 7846 The Coding Train
The Zipf Mystery
 
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The of and to. A in is I. That it, for you, was with on. As have ... but be they. RELATED LINKS AND SOURCES BELOW! http://www.twitter.com/tweetsauce http://www.instagram.com/electricpants WordCount.org http://www.wordcount.org/ How many days have you been alive? http://www.beatcanvas.com/daysalive.asp random letter generator: http://www.dave-reed.com/Nifty/randSeq.html Dictionary of Obscure Sorrows: https://www.youtube.com/user/obscuresorrows Word frequency resources: [lemmatized] https://en.wikipedia.org/wiki/Most_common_words_in_English http://www.uow.edu.au/~dlee/corpora.htm http://www.wordfrequency.info http://www.anc.org/data/anc-second-release/frequency-data/ http://www.titania.bham.ac.uk/docs/ http://www.kilgarriff.co.uk/bnc-readme.html#raw https://en.wiktionary.org/wiki/Wiktionary:Frequency_lists http://ucrel.lancs.ac.uk/bncfreq/ [PDF] http://www.wordfrequency.info/files/entries.pdf [combined Wikipedia and Gutenberg] http://www.monlp.com/2012/04/16/calculating-word-and-n-gram-statistics-from-a-wikipedia-corpora/ http://corpus.byu.edu/coca/files/100k_samples.txt http://corpus.byu.edu/ http://corpus.leeds.ac.uk/list.html https://books.google.co.uk/books?id=ja1_AAAAQBAJ&dq=word+frequency+coca&lr= http://www.ling.helsinki.fi/kit/2009s/clt231/NLTK/book/ch01-LanguageProcessingAndPython.html Great Zipf's law papers: http://colala.bcs.rochester.edu/papers/piantadosi2014zipfs.pdf http://www.ling.upenn.edu/~ycharles/sign708.pdf http://arxiv.org/pdf/cond-mat/0412004.pdf http://www-personal.umich.edu/~mejn/courses/2006/cmplxsys899/powerlaws.pdf Zipf’s law articles and discussions: http://www.theatlantic.com/magazine/archive/2002/04/seeing-around-corners/302471/ http://io9.com/the-mysterious-law-that-governs-the-size-of-your-city-1479244159?utm_expid=66866090-48.Ej9760cOTJCPS_Bq4mjoww.0 https://plus.maths.org/content/os/latestnews/may-aug08/food/index http://judson.blogs.nytimes.com/2009/05/19/math-and-the-city/?em https://plus.maths.org/content/mystery-zipf?src=aop http://www.datasciencecentral.com/profiles/blogs/why-zipf-s-law-explains-so-many-big-data-and-physics-phenomenons https://en.wikipedia.org/wiki/Zipf%27s_law https://books.google.co.uk/books?id=f8GrzlnMSm8C&pg=PA62&redir_esc=y#v=onepage&q&f=false http://arxiv.org/pdf/0802.4393v1.pdf http://www.pnas.org/content/108/9/3526.full http://lewisdartnell.com/language_page.htm http://wugology.com/zipfs-law/ other Zipf’s law PDFs http://ftp.iza.org/dp3928.pdf http://arxiv.org/pdf/1402.2965.pdf http://arxiv.org/pdf/1104.3199.pdf http://www.lel.ed.ac.uk/~jim/zipfjrh.pdf http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2834740/#pone.0009411-Mandelbrot1 http://polymer.bu.edu/hes/articles/pgs02a.pdf in untranslated language: http://arxiv.org/pdf/0808.2904.pdf http://pages.stern.nyu.edu/~xgabaix/papers/zipf.pdf http://www.hpl.hp.com/research/idl/papers/ranking/ranking.html http://statweb.stanford.edu/~owen/courses/306a/ZipfAndGutenberg.pdf http://arxiv.org/pdf/1310.0448v3.pdf http://www.kornai.com/Papers/glotto5.pdf Zipf’s law slides: http://www.slideshare.net/guest9fc47a/nlp-new-words Pareto Principle and related ‘laws’: http://www.squawkpoint.com/2013/03/pareto-principle/ http://billyshall.com/blog/post/paretos-principle https://en.wikipedia.org/wiki/Pareto_principle Random typing and Zipf: http://www.longtail.com/the_long_tail/2006/09/is_zipfs_law_ju.html health 80/20: http://archive.ahrq.gov/research/findings/factsheets/costs/expriach/expriach1.html Principle of least effort: https://en.wikipedia.org/wiki/Principle_of_least_effort https://en.wikipedia.org/wiki/Satisficing http://www.pnas.org/content/100/3/788.full.pdf [PDF] http://csiss.org/classics/content/99 self organized criticality: http://journal.frontiersin.org/article/10.3389/fnsys.2014.00166/full Hapax Legomenon: http://campus.albion.edu/english/2011/02/15/hapax-legomenon/ http://www.dailywritingtips.com/is-that-a-hapax-legomenon/ https://en.wikipedia.org/wiki/Hapax_legomenon [PDF] http://www.aclweb.org/anthology/J10-4003 http://www.wired.com/2012/01/hapax-legomena-and-zipfs-law/ http://oed.hertford.ox.ac.uk/main/content/view/402/450/index.html#_ftn1 http://oed.hertford.ox.ac.uk/main/content/view/36/166/index.html Learning curve: https://en.wikipedia.org/wiki/Learning_curve Forgetting curve: http://www.trainingindustry.com/wiki/entries/forgetting-curve.aspx https://en.wikipedia.org/wiki/Forgetting_curve Experience curve effects: https://en.wikipedia.org/wiki/Experience_curve_effects Forgetting and zipf's law: http://act-r.psy.cmu.edu/wordpress/wp-content/uploads/2012/12/37JRA_LS_PS_1991.pdf http://public.psych.iastate.edu/shacarp/Wixted_Carpenter_2007.pdf http://marshalljonesjr.com/youll-remember-less-than-001-of-your-life/ https://en.wikipedia.org/wiki/Forgetting https://www.reddit.com/r/Showerthoughts/comments/3gu9qk/it_only_takes_three_generations_for_you_to_be/ music from: http://www.youtube.com/jakechudnow http://www.audionetwork.com
Views: 14078297 Vsauce
Game Theory: Minecraft's Ending, DECODED!
 
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What's Diamond Armor Worth IRL? ►► http://bit.ly/1Q5xhmM Setting a Minecraft RECORD on GTLive ►► http://bit.ly/1n99BER READ the ending of Minecraft ► http://bit.ly/1duWkOv When Minecraft first came out, players were confused about one thing...THE ENDING. Minecraft's ending is a 10-minute scroll of philosophical text that everyone either wrote off completely or LOVES to HATE. And I'll be honest, when I first saw it, I thought they were right. This weird, philosophical conversation/poem/mumbo-jumbo confused everyone and seemed all wrong for Minecraft, a game that technically is ENDLESS! But looking at it more closely, the ending of Minecraft hides an amazing story about the game, the universe, and how awesome WE are as gamers. After doing this episode, I'm a fan, and I think you will be, too. Become a Theorist! ►► http://bit.ly/1qV8fd6 Twitter: @MatPatGT GAME THEORY MERCH! Equip it HERE ►► http://gametheory.spreadshirt.com/ Scary Theories: Call of Duty Should Terrify You ► http://bit.ly/1stq1Hs Portal's Gruesome Secret ► http://bit.ly/1INZIWj Polybius: The CIA Conspiracy ► http://bit.ly/1EDrFv2 Mario Theories: Can Bullet Bill kill you? ►► http://bit.ly/1lu41Lo Mario is a Psychopath! ►►►http://bit.ly/1nSum0E Legend of Zelda Theories: What's in Link's Potions? ► http://bit.ly/Zj2FsS Majora's Moon ISN'T a Moon ► http://bit.ly/1DN6lTa Which Link is the strongest? ► http://bit.ly/11pgbvi
Views: 9480848 The Game Theorists
This AI Can Clone Any Voice, Including Yours
 
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Journalist Ashlee Vance travels to Montreal, Canada to meet the founders of Lyrebird, a startup that is using AI to clone human voices with frightening precision. ---------- Hello World is a Webby and Emmy-nominated video series from Bloomberg that invites the viewer to come on a journey across the globe to find the inventors, scientists and technologists shaping our future. Join journalist and best-selling author Ashlee Vance on a quest to find the freshest, weirdest tech creations and the beautiful freaks behind them. Watch more Hello World episodes: https://www.bloomberg.com/hello-world Bloomberg is the First Word in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com Connect with us on... Twitter: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/
Views: 943197 Bloomberg
Coding Challenge #40.2: Word Counter in Processing
 
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In this Coding Challenge, I build a word counting (concordance) application using the Processing (Java) development environment. I show one example of visualizing the counts with font size. Next Video: https://youtu.be/RPMYV-eb6lI http://shiffman.net/a2z/text-analysis/ Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: ITP from Tisch School of the Arts: https://tisch.nyu.edu/itp Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/XQtg/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Views: 13866 The Coding Train
Coding Challenge #40.1: Word Counter in JavaScript
 
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In this Coding Challenge, I build a word counting (concordance) web application in JavaScript. The video demonstrates a use of associate arrays, regular expressions, and other techniques previously covered as part of "Programming from A to Z." Next Video: https://youtu.be/fxQ0B6BkfKo http://shiffman.net/a2z/text-analysis/ Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: ITP from Tisch School of the Arts: https://tisch.nyu.edu/itp Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/XJ8r/ 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
Views: 30990 The Coding Train
8 English Sentences: Find the Mistakes
 
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Can you find the mistakes in these English sentences? In today's lesson, you'll review 8 grammar rules of correct English sentences. You'll get to practice correcting sentences with me in the video. Once you learn these easy grammar rules, you'll avoid making common mistakes and improve your marks on English essays and exams like IELTS, TOEFL, and TOEIC. To test if you really understand these rules, take the quiz. Good luck with your English! http://www.engvid.com/8-english-sentences-find-the-mistakes/ TRANSCRIPT Hi, my name's Rebecca. For the next few minutes, let's pretend you are the English teacher and you're correcting your student's homework. Let's look at some of these sentences and see if you can find some of the errors in these English sentences. Okay, the first sentence: "My mother she works in a bank." Is that okay? Well, let me tell you right now that actually none of these sentences are okay; there is a mistake in every sentence. So see if you can find the mistake. Okay? "My mother she works in a bank." What's the mistake? Okay... Here, "she", all right? I'm just going to grab a different marker. So what happened here is we said: "My mother she works in a bank." So we cannot repeat the subject. The mistake here is that we had a double subject; the subject was mentioned twice. In English, you can't do that. You just mention the subject once. So this sentence, in order to be correct, would need to be: "My mother works in a bank." Or: "She works in a bank." If you know who "she" is. Right? But you can't say both. So no double subjects. Number two: "John is an engineer" What's wrong with that? Look carefully. Well, what's wrong is that it's missing the punctuation. All right? Part of a correct sentence is correct punctuation. So here, there was no period at the end of the sentence, that's what was wrong. Next sentence: "The manager of my department" What's wrong with that? Well, what's wrong is that it's not a sentence because it doesn't have any verb, there's no verb there. Okay? And, of course, you need to continue this sentence, and then eventually you'd need to have some punctuation as well. But basically, there is no... This is a sentence fragment. This is called only a part of a sentence. It is not a complete English sentence or a correct English sentence. There is no verb. Missing verb. Next one: "we enjoy watching old movies." Okay? Again, look carefully. What's wrong there? Well, it has a subject, it has a verb, but this is the problem. The first letter in the first word of an English sentence has to be capitalized and that's what was missing here. You see, we didn't have that problem before. Okay. Next one: "I like very much Chinese food." Okay? Maybe that sounds okay to you, but doesn't sound okay to me. It's close, but not quite. What's wrong? Well, what's wrong here is this, the word order. Not only do you need to have certain elements, you need to have the words in the right order. So in English, the correct order for this sentence would be: "I like Chinese food very much." Okay? Not: "very much Chinese food." "I like Chinese food very much." Okay? Next: "Maria need help with her hw." "Maria need help with her homework." What's wrong there? Okay? So the mistake is here, the mistake is in subject-verb agreement. The verb has to agree with the subject. Right? And if we say: "Maria", it's like: "she", and we would have to say: "She needs". "Maria needs help with her hw." So the error here was in subject-verb agreement. Next one: "delivered the package yesterday" Okay? "delivered the package yesterday" What's wrong here? Well, it's similar to this one, except here, we had a sentence fragment and we had the subject. Here, we have a sentence fragment, and we have a verb, but we don't have a subject. We have a missing subject. So this is also a sentence fragment. "Fragment" means only part. It is not a complete sentence. Next one: "We recieved your letter." "We recieved your letter." Sounds fine, but if you're an English teacher, you're going to look really carefully at each of the words. And what's wrong is here, the mistake is here. It's a spelling mistake. Okay? The word "received" is one of those tricky words with the "e" and the "i", and the "i" and the "e" that you have to learn very well. So spelling mistakes will also bring down your marks. If you're doing the IELTS, if you're bring... Doing the TOEFL, any errors of this kind will bring your marks down. Okay? So even though they seem very basic, I know from experience that students make all of these mistakes. Be very careful not to make them. Let's look at what principles apply to correct English sentences. Okay? So, an English sentence must express a complete thought and it must express it with certain elements. Now, just because a sentence must express a complete thought, it doesn't have to have a lot of words; it doesn't have to be a very long sentence.
Macbeth (Shakespeare) - Thug Notes Summary and Analysis
 
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Yo, check out my new audio series, "Thug Notes GET LIT," now available on Apple Podcasts, Stitcher, Google Play or wherever you get your podcasts. New episodes will be comin’ at you every week. ►► Subscribe and download now! iTunes: http://wscrk.com/ituGetLit Stitcher: http://wscrk.com/stiGetLit Google Play: http://wscrk.com/gpmGetLit Get the Thug Notes BOOK here! ►► http://bit.ly/1HLNbLN Join Wisecrack! ►► http://bit.ly/1y8Veir From plot debriefs to key motifs, Thug Notes’ Macbeth Summary & Analysis has you covered with themes, symbols, important quotes, and more. This week’s episode is Macbeth by William Shakespeare. Buy the book here on Amazon ►► http://amzn.to/1FuXkMn Buy the book here on iBooks ►► http://apple.co/1GPqeLZ Twitter: @SparkSweetsPhd Facebook: http://on.fb.me/1Nhiba7 More Thug Notes: To Kill A Mockingbird ►► http://bit.ly/1Bp5epd The Great Gatsby ►► http://bit.ly/1BoYKqs The Hobbit ►► http://bit.ly/1NhhgGJ 8-Bit Philosophy: Is Capitalism Bad For You? ►► http://bit.ly/1NhhX2P What is Real? ►► http://bit.ly/1HHC9g1 What is Marxism? ►► http://bit.ly/1M0dINJ Earthling Cinema: Batman - The Dark Knight ►► http://bit.ly/1buIi1J Pulp Fiction ►► http://bit.ly/18Yjbmr Mean Girls ►► http://bit.ly/1GWjlpy Pop Psych: Mario Goes to Therapy ►► http://bit.ly/1GobKCl Batman Goes to Therapy ►► http://bit.ly/1xhmXCy Santa Goes to Therapy ►► http://bit.ly/1Iwqpuo Shop Thug Notes:►► http://shop.thug-notes.com http://www.thug-notes.com http://www.wisecrack.co – Check out our Merch!: http://www.wisecrack.co/store
Views: 1450131 Wisecrack
Tableau + R Integration: Part 2 - Ex3a - Sentiment Analysis of Words
 
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Download the starter workbook in the link below to follow along. In this exercise, we'll be scanning rows of data containing lyrics from the Top 100 Spotify song list from 2017. We'll use the R package tidytext to scan and assign a polarity score for every word of every line of every song. This will allow us to see the overall polarity of every song within the Top 100. We'll be able to easily rank from the most positive song down to the most negative. STEP BY STEP GUIDE + WORKBOOK: https://tableauhq.com/tableau-and-r-set-up-with-hands-on-exercises/ UBUNTU CLOUD SERVER: https://tableauhq.com/hosting
Views: 73 Tableau Training
Lesson-06 : Counting Words - Facebook Data Analysis with Python
 
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I will show you how you can count the words in all posts for a certain group or a page to be used in analysis. ___________________________________________________ In this video series I will share my experience with you and show you how you can use the facebook’s Graph API and how you can use it for analysis with python and pandas using basic examples For my services and Hiring : https://www.linkedin.com/in/nourgalaby/ https://www.upwork.com/fl/ngalaby
Views: 3010 Nour Galaby
Pandas for Predictive Analysis using scikit-learn : Making Your Bag of Words Ready | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2x6TQXM]. Learn how to start with sentiment analysis by creating a corpus of text or a bag of words ready. • Learn how to use scikit-learn’s CountVectorizer class • Explore the process of building vocabulary or bag of words on a sample set • Import a real dataset and build a bag of words from it For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 1292 Packt Video
Why Did Freddie Mercury Write Bohemian Rhapsody?
 
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Let’s look at the story behind this amazing song. Queen Bohemian Rhapsody.
Views: 4077522 The HollyHobs
Chris Medina - What Are Words (Official Video)
 
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Music video by Chris Medina performing What Are Words. (C) 2011 19 Recordings, Inc. #ChrisMedina #WhatAreWords #Vevo
Views: 49004577 ChrismedinaVEVO
Post Malone, Swae Lee - Sunflower (Lyrics) (Spider-Man: Into the Spider-Verse)
 
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Post Malone, Swae Lee - Sunflower (Lyrics) (Spider-Man: Into the Spider-Verse) Post Malone http://www.postmalone.com https://twitter.com/postmalone https://www.instagram.com/postmalone Lyric video for Post Malone, Swae Lee performing Sunflower (from Spider-Man: Into the Spider-Verse)
Views: 78951331 Shadow Music
Taylor Swift - You Need To Calm Down (Lyric Video)
 
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'Lover', the album, here: https://TaylorSwift.lnk.to/Lover Music video by Taylor Swift performing You Need To Calm Down (Lyric Video). © 2019 Republic Records, a division of UMG Recordings, Inc. http://vevo.ly/WHIxy5
Views: 17691733 TaylorSwiftVEVO
Eminem - Till I Collapse (Lyrics) [HD & HQ]
 
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Eminem - Till I Collapse HD. 2002 from "The Eminem Show" *CHECK OUT MY OTHER LYRICS OF EMINEM* Eminem - Till I Collapse Eminem - Till I Collapse Eminem - Till I Collapse Eminem - Till I Collapse
Views: 35913928 HDlyricsEminem
Taylor Swift - You Need To Calm Down
 
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Music video by Taylor Swift performing “You Need To Calm Down” – off her upcoming new album ‘Lover’ (out August 23). Support the Equality Act: https://taylorswift.lnk.to/petition ►Download “You Need To Calm Down" here: https://TaylorSwift.lnk.to/YNTCDsu ►Pre-Order ‘Lover’ here: https://TaylorSwift.lnk.to/Loversu ►Exclusive Merch: https://store.taylorswift.com ►Follow Taylor Swift Online Instagram: http://www.instagram.com/taylorswift Facebook: http://www.facebook.com/taylorswift Tumblr: http://taylorswift.tumblr.com Twitter: http://www.twitter.com/taylorswift13 Website: http://www.taylorswift.com ►Follow Taylor Nation Online Instagram: http://www.instagram.com/taylornation Tumblr: http://taylornation.tumblr.com Twitter: http://www.twitter.com/taylornation13 Featuring appearances by (in alphabetical order): A'keria Davenport Adam Lambert Adam Rippon Adore Delano Antoni Porowski Billy Porter Bobby Berk Chester Lockhart Ciara Delta Work Dexter Mayfield Ellen Degeneres Hannah Hart Hayley Kiyoko Jade Jolie Jesse Tyler Ferguson Jonathan Van Ness Justin Mikita Karamo Brown Katy Perry Laverne Cox Riley Knoxx Rupaul Ryan Reynolds Tan France Tatianna Todrick Hall Trinity K Bonet Trinity Taylor Director: Drew Kirsch & Taylor Swift Executive Producers: Todrick Hall & Taylor Swift Producers: Tara Razavi & Fuliane Petikyan for Happy Place, Inc. © 2019 Taylor Swift #TaylorSwift #YouNeedToCalmDown #TaylorSwiftLover
Views: 89240939 TaylorSwiftVEVO
Star Spangled Banner As You've Never Heard It
 
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A story of how our national anthem came to be. I was asked by someone to put a video together for this audio and upload it, so here it is. I was never expecting it to get so many views. Yes I'm aware some info is sketchy and wording isn't exactly right. Please stop sending complaints. Like I said before, I'm doing a favor for someone here. You can look up the accurate story if want the precise info. Here's a link to one of many sources for info on the true story: https://tinyurl.com/yb6laets Hope you enjoy the message of this video though. God Bless America P.S: Really sorry about the typos in the anthem *I don't own the audio or pics and the flag video that I used towards the end belongs to FarWestTexas.
Views: 10610374 mona rose
Synonyms & Antonyms - English Vocabulary
 
01:07:44
Download the Poket News App - http://bit.ly/2J3IxV3 #StudyIQ Pendrive Courses for Various Govt. Exams, Click here http://bit.ly/2QcdLOd to know in detail OR Call 95-8004-8004 UPSC/CSE - This is our Flagship & Most Selling Course. This course covered Length & Breadth of UPSC vast syllabus and made by Elite & Very best faculties from all over India with StudyIQ Trust. Click here http://bit.ly/2QbHfM7 to watch Demo Videos, Course Content, Authors, Etc. SSC & Bank - This is our oldest Course, made by Founders of StudyIQ. 1000+ videos so far and new videos added every week. Click here http://bit.ly/2QaG3ZE to know more. UPSC Optionals - We have covered almost all major UPSC Optionals. Click here http://bit.ly/2QqTKUU to find yours State Exams PSCs - Currently we have 18 States covered, More to come, Choose your state. Click http://bit.ly/2Qgv6G0 to watch demo videos, know about authors and all. Defense Exams - CDS, NDA, CAPF, SSB, AFCAT, Airforce. Click here http://bit.ly/2zT8MbP to get into the Army, Navy or Airforce SSC JE Exams - Civil, Mechanical, Electrical, Electronics. Click here http://bit.ly/2G8eDQ0 to know more RBI Grade B - Grade B is the most popular Job after IAS. This course made by well-experienced faculties of Study IQ. Click here http://bit.ly/2DAtlwm to watch demo videos, Authors, Course content. NTA NET - Start your preparation for UGC(NTA) NET prestigious exam. We have courses for both Paper 1 & 2. Click here http://bit.ly/2HnhFNQ to check UPSC Prelim Test Series - Our flagship test series for UPSC Prelims. More than 60% Sucess rate in 2018. Click here http://bit.ly/2Ea4Rtx to enroll right now DMRC Exams - Courses for Delhi Metro Technical & Non-Technical Exams. Click here http://bit.ly/2Q4cFS8 to know more Insurance Exams - LIC, NICL, and other insurance exams. Click here http://bit.ly/2VpbXjE to know more Law Exams - Find courses for Undergraduate and Judiciary Exams. Click here http://bit.ly/2Jk4G31 to check Railway Jobs - More than 1.5 Lac jobs to come this year. Start your preparation with us for Tech or Non-Tech posts. Click here http://bit.ly/2Ti5NB6 to check the available courses Teaching Jobs - CTET, DSSSB. Click here http://bit.ly/30oBgWP to know more NABARD Grade A - https://goo.gl/C6CzAL Have a doubt? Click here http://bit.ly/2qWhdOI to start instant Chat with our Sale team or you can #Call_9580048004 _ Download the Poket News App - http://bit.ly/2J3IxV3 Follow us on Instagram - http://bit.ly/2K0uXEH Click here http://bit.ly/2V5GN0h to Sponsor Study IQ UPSCIQ Magazine - http://bit.ly/2DH1ZWq || Bank IQ Magazine - http://bit.ly/2QxyNmJ Daily Current Affairs - http://bit.ly/2VDIuT0 Download All Videos PDFs - https://goo.gl/X8UMwF || Join StudyIQ on Telegram - https://goo.gl/xBR3g8 Monthly Current Affairs - http://bit.ly/2UAXktE Topic Wise Current Affairs - http://bit.ly/2VHxiZw Free PDFs - https://goo.gl/cJufZc || Free Quiz - https://goo.gl/wCxZsy || Free Video Courses - https://goo.gl/jtMKP9" Follow us on Facebook - https://goo.gl/iAhPDJ Telegram - https://t.me/Studyiqeducation The Hindu Editorial Analysis - https://goo.gl/vmvHjG Current Affairs by Dr Gaurav Garg - https://goo.gl/bqfkXe UPSC/IAS Burning Issues analysis- https://goo.gl/2NG7vP World History for UPSC - https://goo.gl/J7DLXv Indian History - https://goo.gl/kVwB79 Follow us on Facebook - https://goo.gl/iAhPDJ Follow Dr Gaurav Garg on Facebook - https://goo.gl/xqLaQm UPSC/IAS past papers questions - https://goo.gl/F5gyWH SSC CGL + IBPS Quantitative tricks - https://goo.gl/C6d9n8 English Vocabulary - https://goo.gl/G9e04H Reasoning tricks for Bank PO + SSC CGL- https://goo.gl/a68WRN Error spotting / Sentence correction https://goo.gl/6RbdjC Static GK complete- https://goo.gl/kB0uAo Complete GK + Current Affairs for all exams- https://goo.gl/MKEoLy World History - UPSC / IAS - https://goo.gl/kwU9jC Learn English for SSC CGL, Bank PO https://goo.gl/MoL2it Science and Technology for UPSC/IAS - https://goo.gl/Jm4h8j Philosophy for UPSC/IAS - https://goo.gl/FH9p3n Yojana Magazine analysis -https://goo.gl/8oK1gy History for SSC CGL + Railways NTPC - https://goo.gl/7939eV
Views: 3400920 Study IQ education
Miley Cyrus - Mother's Daughter (Official Video)
 
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Listen to new EP ‘SHE IS COMING’ featuring “Mother’s Daughter” now: https://smarturl.it/SHEISCOMING?iQid=yt iTunes - https://smarturl.it/SHEISCOMING/itunes?iQid=yt Apple Music - https://smarturl.it/SHEISCOMING/applemusic?iQid=yt Spotify - https://smarturl.it/SHEISCOMING/spotify?iQid=yt Amazon - https://smarturl.it/SHEISCOMING/az?iQid=yt Google Play - https://smarturl.it/SHEISCOMING/googleplay?iQid=yt Deezer - https://smarturl.it/SHEISCOMING/deezer?iQid=yt New merch at Miley’s official store now! https://smarturl.it/MileyStore?iQid=yt *All new merch items in the store are bundled with a digital copy of the forthcoming studio album. Upon completion of your order you will get an instant download of “SHE IS COMING” and will receive your full album download via e-mail on release date. Follow Miley on Spotify, Apple Music or Deezer to get new music as soon as it’s out: https://smarturl.it/FollowMC?iQid=yt Connect with Miley - Facebook: https://miley.lk/facebook Twitter: https://miley.lk/twitter Instagram: https://miley.lk/instagram Snapchat: http://miley.lk/SnapChat Site: http://www.mileycyrus.com Visuals and texts references from FEMEN: https://femen.org/ https://www.instagram.com/femen_official/ #femen STARRING: https://www.instagram.com/tishcyrus/ https://www.instagram.com/laceybaker/ https://www.instagram.com/littlemissflint/ https://www.instagram.com/anactingangel/ https://www.instagram.com/melamurder/ https://www.instagram.com/casil_the_goat_lord/ https://www.instagram.com/aaron___philip/ https://www.instagram.com/theofficialamazonashley/ https://www.instagram.com/vendela/ #MileyCyrus #SHEISCOMING #MothersDaughter MILEY CYRUS “Mother’s Daughter” VERSE 1 Hallelujah I’m a freak, I’m a freak Hallelujah Every day of the week I’mma do yeah like I want, ah I’mma Nile Crocodile A piranha Oh my gosh She got the power Wow, look at her She got the power CHORUS Don’t fuck with my freedom I came up to get me some I’m nasty, I’m evil Must be something in the water Or that I’m my Mother’s daughter X2 So Back up Back up Back up Boy, uuu VERSE 2 Hallelujah I’mma witch, I’mma witch Hallelujah Swish, swish, I’mma three-point shooter I blow thru ya Like a hot wind out in the Bayou, yeah Oh my god She got the power Wow, look at her She got the power CHORUS C-PART My Mama always told me That I’d make it That I’d make it So I made it I put back into it, my heart in it So I did it Yeah I did it X2 CHORUS OUTRO Don’t fuck with my freedom OMG, OMG X4 Swish, swish, motherfucker
Views: 35969570 MileyCyrusVEVO
Making the song with PewDiePie (Congratulations BTS)
 
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The song: https://www.youtube.com/watch?v=PHgc8Q6qTjc Why Roomie Hated Pewdiepie: https://www.youtube.com/watch?v=ojvqIumZtnU Subscribe to Pewdiepie: https://www.youtube.com/PewDiePie Thanks Roomie: https://www.youtube.com/RoomieOfficial One of the craziest projects I've ever been a part of. Super fun and weird. Sources: Gandhi stuff: http://www.columbia.edu/itc/mealac/pritchett/00litlinks/gandhi/part4/410chapter.html ► ► If you want to support what I do, this is the best way: http://www.patreon.com/boyinaband ► Facebook: http://www.facebook.com/boyinabandcom ► Twitter: http://twitter.com/DavePBrown ► Tumblr: http://davebiab.tumblr.com/ ► Music: http://boyinaband.bandcamp.com ► T-Shirts: http://boyinaband.bigcartel.com/ ★ ★ ★ Thanks to my amazing Patreon supporters: Katie Khau, Haruka Kuroneko, Lance Thackeray, sarah, Spencer Willhite, SpunkyMutt, Sven Lange, Beth, Jae Megan, Rose Lafeuille, Xenogeneticist, Le8efou, Marita Brose, Anne Irina, Melissa Wells, Pi Fisher, Jim Brown, Anthony, Ofer Mustigman, Janine Myers, Riley Justice, Freztor, Rachel Eaton, Neela Ducky, Geo, NURØ TØXXYN, Noa Adar, Zoe Elms, Dean Young, Sarah Oliver-Munn, Brandi Hawkins, Cedar Skye, Layla, Ben Dunn, Conny Fox, Jack Morris, Garrett Taggart, Christian Ahlin, Andrew Fliak, Shannon Laird, Ivan Nikulin, and BitFaze.
Views: 6904187 Boyinaband
Panic! At The Disco: I Write Sins Not Tragedies [OFFICIAL VIDEO]
 
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Panic! At The Disco's music video for 'I Write Sins Not Tragedies' from the album, A Fever You Can't Sweat Out - available now on DCD2 Records / Fueled By Ramen. Download it at http://smarturl.it/afever Go behind the scenes of this video at http://youtu.be/Yzs2TS9Ajws See Panic! At The Disco On Tour! - Dates & Tickets: http://www.panicatthedisco.com/tour iTunes: http://smarturl.it/tooweird Site: http://panicatthedisco.com Subscribe: http://smarturl.it/fbryoutube Facebook: http://facebook.com/panicatthedisco Twitter: http://twitter.com/panicatthedisco YouTube: http://youtube.com/panicatthedisco Instagram: http://instagram.com/panicatthedisco LYRICS Oh, Well imagine, As I'm pacing the pews in a church corridor, And I can't help but to hear, No, I can't help but to hear an exchanging of words: "What a beautiful wedding! What a beautiful wedding!" says a bridesmaid to a waiter, "And, yes, but what a shame, what a shame the poor groom's bride is a whore." I chime in with a "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of poise and rationality. I chime in, "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of... Well in fact, Well I'll look at it this way, I mean technically our marriage is saved Well this calls for a toast So, pour the champagne Oh! Well in fact, Well I'll look at it this way, I mean technically our marriage is saved Well this calls for a toast, So, pour the champagne, pour the champagne I chime in with a "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of poise and rationality. I chime in, "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of poise and rationality again. I chime in, "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of poise and rationality. I chime in, "Haven't you people ever heard of closing the goddamn door?!" No, it's much better to face these kinds of things With a sense of poise and rationality again.
Views: 274477988 Fueled By Ramen
Ariana Grande - God is a woman
 
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God is a woman (Official Video) Song available here: https://arianagrande.lnk.to/GodIsAWomanYD Connect with Ariana: https://www.arianagrande.com https://www.instagram.com/arianagrande https://twitter.com/arianagrande https://www.facebook.com/arianagrande Video Director: Dave Meyers Video Producer: Nathan Scherrer Video Editor: Nick Gilberg A FREENJOY PRODUCTION Body Painting by Alexa Meade Madonna appears courtesy of Live Nation Worldwide, Inc. and Maverick Management/Guy Oseary. Vocal Production and Engineering for Madonna by Lauren D’Elia. Music video by Ariana Grande performing God is a woman. © 2018 Republic Records, a Division of UMG Recordings, Inc. http://vevo.ly/dlM76Z
Views: 237113976 ArianaGrandeVevo
The Speech that Made Obama President
 
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In 2004, a one-term senator from Illinois took the stage to deliver the keynote speech at the Democratic National Convention in Boston. By the time Barack Obama had finished speaking, Democrats across the country knew they had seen the future of their party. Political speech experts featured in this episode include: Michael A. Cohen Author, Live From The Campaign Trail Mario Cuomo Former Governor of New York Robert Lehrman Chief Speechwriter for Vice President Gore and Professor of Speechwriting, American University Charlton McIlwain Professor of Communication, New York University Jeff Shesol Speechwriter for President Clinton and Founding Partner, West Wing Writers PODIUM is a bi-weekly series that embraces the art of public speaking and honors those with something to say. From historic political speeches, to contemporary commencement addresses, to wedding toasts, the series explores various genres of speechmaking and provides inspiring, insightful analysis including "how-to" content. Created and produced by @radical.media, THNKR gives you extraordinary access to the people, stories, places and thinking that will change your mind. Follow @THNKR on Twitter for the latest! Like us on Facebook: http://www.facebook.com/thnkrtv Check out what we're into on Tumblr: http://thnkrtv.tumblr.com/
Views: 16142383 THNKR
JAY-Z - The Story of O.J.
 
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Watch the The Story of O.J. From JAY-Z’s new album, '4:44' Streaming now on TIDAL - https://JAY-Z.co/444 Follow JAY-Z: Facebook: https://www.facebook.com/JayZ Twitter: https://twitter.com/s_c_ Directed by Mark Romanek & JAY-Z Executive Producer: Elizabeth Newman Producer: Daniel Midgley Production Coordinator: Lauren Wesley Creative Director: Lisha Tan Lead Character Design: Rustam Hasanov Art Director: Tim Devlin Title Design: Ilya Abulkhanov Design: Nathan McKenna, George Fuentes, Ren Chen, Lisha Tan, Amy Graham Animation: Justin Demetrician, Jason Kang, Kyle Moore, Mikhail Pakhomov, Tim Devlin, Evan Parsons 3D Modeling: Sasha Vinogradova 2D Lead Artist: John Shirley Storyboard Artist: Vince Wei Character Animation by Titmouse Producer: Ben Kalina Animation Director: Mike Roush Production Manager: Brendan O’Connor Animation: Matt Augustin, Roberto Rosi, Richard Mather, Thom McDonnell, Daran Carlin-Weber, Jonathan Peartree, George Chung, Adam Temple, Brian Pak, Mike McCraw, Dante Buford, Marius Alecse, Connie Chan Cleanup: Jan Naylor, Yi Song, Carl Aspuria, Anthony Parrotta Editorial by Arcade Edit Editor: Paul Martinez Assistant Editor: Pete Dandrea Music video by JAY-Z performing The Story of O.J.. (C) 2017 S. Carter Enterprises, LLC. Marketed by Roc Nation & Distributed by Roc Nation/UMG Recordings, Inc. http://vevo.ly/cX2dKZ
Views: 95234943 JayZVEVO
Coolio - Gangsters Paradise (Official Lyrics On Screen)
 
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I do not own this, only the lyric video. Enjoy :)
Views: 13974890 tbc tbc
Using Statgraphics and R for Text Mining
 
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This webinar demonstrates the use of the new Statgraphics/R interface for data mining of text. It shows how to take a column of character data from the Statgraphics datasheet and use R to generate a wordcloud showing the most frequently occurring words. It also shows how to take a collection of documents and find associations between words. The techniques are extremely useful for analysis of survey results and other textual data. StatFolios have been posted at www.statgraphics.com/webinars containing the R scripts used in the webinar.
Views: 579 Statgraphics
True love explained | Abraham Twerski
 
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An Original Word Porn Production of Abraham Twerski Abraham Twerski explains the meaning of true love. Transcript: "Young man why are you eating that fish? You man says: "Because I love fish" He says, Oh you love the fish, thats why you took it out of the water and killed it and boiled it. Don't tell me you love the fish. You love yourself, and because the fish tastes good to you, therefore you took it out of the water and killed it and boiled it. So much of what is love, is fish love. And so, young couple falls in love, young man young woman fall in love, what does that mean? That means that he saw in this woman someone who he felt could provide him with all his physical and emotional needs, and she felt in this man somebody she feels that she can write that was love, but each one was looking out for their own needs. It's not love for the other. The other person becomes a vehicle, for my gratification. Too much of what is called love, is fish love. An external love is not on what i'm going to get but what i'm going to give. We had in ethicist rabbi dessler who said, 'The people make a serious mistake in thinking that you give to those who you love.' And the real answer is, you love those whom you give. His point is, if I give something to you, i'v invested myself to you. And since self love is a given, everybody loves themselves. now that part of me has become in you, there's part of me in you that I love. So.. true love is a love of giving, not a love of receiving."
Views: 3366950 Word Porn
See Saw by Pink Floyd: Analysis
 
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Composer Samuel Andreyev discusses the context, lyrics, form, music and production of the 1968 Pink Floyd song 'See Saw', written by Rick Wright and included on the band's 2nd LP, A Saucerful of Secrets. SUPPORT THIS CHANNEL: http://www.samuelandreyev.com/donate http://www.patreon.com/samuelandreyev LISTEN TO SEE-SAW https://www.youtube.com/watch?v=5WtraNl6ol4 NEW ALBUM OUT NOW Order a physical copy: https://www.kairos-music.com/cds/0015025kai Listen on Spotify: https://open.spotify.com/album/42kfmsjGZyNDo4nrVNHkvP?si=V4imzn9MRQOHvJBvKPjTAA Listen on iTunes: https://music.apple.com/fr/album/samuel-andreyev-music-with-no-edges/1446778654 LINKS Website: http://www.samuelandreyev.com Twitter: http://www.twitter.com/samuelandreyev THE SAMUEL ANDREYEV PODCAST On Buzzsprout: https://www.buzzsprout.com/266909 On Spotify: https://open.spotify.com/show/0MYQHsGXZ71wtde5QoOlZb?si=MSyCWiOfSJGMz0FV8iXymw On iTunes: https://podcasts.apple.com/fr/podcast/the-samuel-andreyev-podcast/id1455789353
Views: 4835 Samuel Andreyev
Don McLean - Vincent ( Starry, Starry Night) With Lyrics
 
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Don McLean's Vincent (Starry,Starry Night) Almost all images created by Vincent Van- Gogh. Song by Don McLean I in no way assume any credit for song or images.
Views: 37383447 wysty67
Joyner Lucas ft. Logic - ISIS (ADHD)
 
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Written and Distributed on Tully: https://bit.ly/2BFcGEV Get ADHD Merch: https://bit.ly/2LphKWy
Views: 22346906 joyner lucas
Katy Perry - Chained To The Rhythm (Official) ft. Skip Marley
 
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Get “Chained To The Rhythm” off Katy’s new album ‘Witness’: http://katy.to/witnessYd Katy Perry Complete Collection on Spotify: http://katy.to/SpotifyCompleteYD Katy Perry Essentials on Apple Music: http://katy.to/AMEssentialsYD Watch your favorite Katy videos on YouTube: http://katy.to/MusicVideosYD Official video for “Chained to the Rhythm” directed by Mathew Cullen, produced by Danny Lockwood, Rob Newman, Ben Leiser & Javier Jimenez. Filmed at Six Flags Magic Mountain, California, “The Thrill Capital of the World”, January 2017. Follow Katy Perry: Website: http://katy.to/WebsiteYD Instagram: http://katy.to/InstagramYD Twitter: http://katy.to/TwitterYD Facebook: http://katy.to/FacebookYD LYRICS: Are we crazy Living our lives through a lens Trapped in our white picket fence Like ornaments So comfortable, we’re living in a bubble, bubble So comfortable, we cannot see the trouble, trouble Aren’t you lonely Up there in utopia Where nothing will ever be enough Happily numb So comfortable, we’re living in a bubble, bubble So comfortable, we cannot see the trouble, trouble So put your rose-colored glasses on And party on Turn it up, it’s your favorite song Dance, dance, dance to the distortion Turn it up, keep it on repeat Stumbling around like a wasted zombie Yeah, we think we’re free Drink, this one’s on me We’re all chained to the rhythm To the rhythm To the rhythm Turn it up, it’s your favorite song Dance, dance, dance to the distortion Turn it up, keep it on repeat Stumbling around like a wasted zombie Yeah, we think we’re free Drink, this one’s on me We’re all chained to the rhythm To the rhythm To the rhythm Are we tone deaf Keep sweeping it under the mat Thought we could do better than that I hope we can So comfortable, we’re living in a bubble, bubble So comfortable, we cannot see the trouble, trouble So put your rose-colored glasses on And party on Turn it up, it’s your favorite song Dance, dance, dance to the distortion Turn it up, keep it on repeat Stumbling around like a wasted zombie Yeah, we think we’re free Drink, this one’s on me We’re all chained to the rhythm To the rhythm To the rhythm Turn it up, it’s your favorite song Dance, dance, dance to the distortion Turn it up, keep it on repeat Stumbling around like a wasted zombie Yeah, we think we’re free Drink, this one’s on me We’re all chained to the rhythm To the rhythm To the rhythm It is my desire Break down the walls to connect, inspire Up in your high place, liars Time is ticking for the empire The truth they feed is feeble As so many times before They greed over the people They stumbling and fumbling And we about to riot They woke up, they woke up the lions Turn it up, it’s your favorite song Dance, dance, dance to the distortion Turn it up, keep it on repeat Stumbling around like a wasted zombie Yeah, we think we’re free Drink, this one’s on me We’re all chained to the rhythm To the rhythm To the rhythm http://vevo.ly/5vrgDV
Views: 592176510 KatyPerryVEVO