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Text and discourse analysis
 
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This is Module 6 Text and Discourse Analysis at James Cook University. Please subscribe and comment below.
Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences
 
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Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or API to do natural language processing is the Natural Language Toolkit for the Python programming language. The NLTK module comes packed full of everything from trained algorithms to identify parts of speech to unsupervised machine learning algorithms to help you train your own machine to understand a specific bit of text. NLTK also comes with a large corpora of data sets containing things like chat logs, movie reviews, journals, and much more! Bottom line, if you're going to be doing natural language processing, you should definitely look into NLTK! Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 394275 sentdex
Making Meaning from Text: Character Analysis
 
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This series of clips demonstrates how an elementary library media specialist uses Tomie DePaola's book Tom to help her students make meaning from text. For an enrichment book club, the students studied Tomie DiPaolo books. The library media specialist selected Tom as their last book because she knew the student would be able to synthesize their many understandings from his previous books.
Views: 206 OELMA1
How to easily perform text data content analysis with Excel
 
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Perform complex text analysis with ease. Automatically find unique phrase patterns within text, identify phrase and word frequency, custom latent variable frequency and definition, unique and common words within text phrases, and more. This is data mining made easy. Video Topics: 1) How to insert text content data for analysis 2) Perform qualitative content analysis on sample survey 3) Review text content phrase themes and findings within data 4) Review frequency of words and phrase patterns found within data 5) Label word and phrase patterns found within data
Views: 58815 etableutilities
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; *it surprises you; *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. 3.10. 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 This tutorial showed how to focus on segments in the transcripts and how to put codes together and create categories. However, it is important to remember that 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. Good luck with your study. Text and video (including audio) © Kent Löfgren, Sweden
Views: 667184 Kent Löfgren
THE ANALYSIS OF A TEXT IN A TRANSLATION
 
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THE ANALYSIS OF A TEXT IN A TRANSLATION
Views: 77 Verónica Vera
How to Write a Critique Essay (An Evaluation Essay_
 
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Defines the five common parts of a critique essay and provides a formula for completing each part.
Views: 286709 David Taylor
What is POST-STRUCTURALISM? What does POST-STRUCTURALISM mean? POST-STRUCTURALISM meaning
 
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The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 What is POST-STRUCTURALISM? What does POST-STRUCTURALISM mean? POST-STRUCTURALISM meaning - POST-STRUCTURALISM definition - POST-STRUCTURALISM explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Post-structuralism is a label formulated by American academics to denote the heterogeneous works of a series of mid-20th-century French and continental philosophers and critical theorists who came to international prominence in the 1960s and 1970s. Post-structuralism is defined by its relationship to its predecessor, structuralism, an intellectual movement developed in Europe from the early to mid-20th century which argued that human culture may be understood by means of a structure—modeled on language (i.e., structural linguistics)—that differs from concrete reality and from abstract ideas—a "third order" that mediates between the two. Post-structuralist authors all present different critiques of structuralism, but common themes include the rejection of the self-sufficiency of the structures that structuralism posits and an interrogation of the binary oppositions that constitute those structures. Writers whose work is often characterised as post-structuralist include Jacques Derrida, Michel Foucault, Gilles Deleuze, Judith Butler, Jacques Lacan, Jean Baudrillard, and Julia Kristeva, although many theorists who have been called "post-structuralist" have rejected the label. Existential phenomenology is a significant influence; Colin Davis has argued that post-structuralists might just as accurately be called "post-phenomenologists". Post-structuralism emerged in France during the 1960s as a movement critiquing structuralism. According to J.G. Merquior a love–hate relationship with structuralism developed among many leading French thinkers in the 1960s. The period was marked by political anxiety, as students and workers alike rebelled against the state in May 1968, nearly causing the downfall of the French government. At the same time, however, the support by the French Communist Party (FCP) for the oppressive policies of the USSR contributed to popular disillusionment with orthodox Marxism. Post-structuralism offered a means to justify these criticisms, by exposing the underlying assumptions of many Western norms. Two key figures in the early post-structuralist movement were Jacques Derrida and Roland Barthes. In a 1966 lecture "Structure, Sign, and Play in the Discourse of the Human Sciences", Jacques Derrida presented a thesis on an apparent rupture in intellectual life. Derrida interpreted this event as a "decentering" of the former intellectual cosmos. Instead of progress or divergence from an identified centre, Derrida described this "event" as a kind of "play." Although Barthes was originally a structuralist, during the 1960s he increasingly favored post-structuralist views. In 1967, Barthes published "The Death of the Author" in which he announced a metaphorical event: the "death" of the author as an authentic source of meaning for a given text. Barthes argued that any literary text has multiple meanings, and that the author was not the prime source of the work's semantic content. The "Death of the Author," Barthes maintained, was the "Birth of the Reader," as the source of the proliferation of meanings of the text. Post-structuralist philosophers like Derrida and Foucault did not form a self-conscious group, but each responded to the traditions of phenomenology and structuralism. Phenomenology, often associated with two German philosophers Edmund Husserl and Martin Heidegger, rejected previous systems of knowledge and attempted to examine life "just as it appears" (as phenomena). Both movements rejected the idea that knowledge could be centred on the human knower, and sought what they considered a more secure foundation for knowledge. In phenomenology, this foundation is experience itself; in structuralism, knowledge is founded on the "structures" that make experience possible: concepts, and language or signs. By contrast, post-structuralism argues that founding knowledge either on pure experience (phenomenology) or systematic structures (structuralism) is impossible. This impossibility was not meant as a failure or loss, but rather as a cause for "celebration and liberation."
Views: 32664 The Audiopedia
Text Dependent Analysis: Nonfiction
 
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Houghton Mifflin Harcourt Program Consultant Kylene Beers discusses how to analyze a nonfiction text in this excerpt from one of a series of on-demand, point-of-use professional development podcasts available in Journeys Common Core, Grades K-6, Collections, Grades 6-12, and HMH Professional Development Services courses. Register for free 120-day access to more Professional Development podcasts videos in Journeys Common Core and Collections by going to hmhco.com, selecting your program, and clicking Sample Now. ------------------------------------------------------------------------------------------------------ Subscribe to our YouTube Channel: http://spr.ly/6005B0myN Like us on Facebook: http://spr.ly/6001B0mJT Follow us on Twitter: http://spr.ly/6007B0mJc Follow us on Pinterest: http://spr.ly/6005B0mKz Check out our Website: http://spr.ly/6004B0mKp -----------------------------------------------------------------------------------------------------------
What is entropy? - Jeff Phillips
 
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View full lesson: http://ed.ted.com/lessons/what-is-entropy-jeff-phillips There’s a concept that’s crucial to chemistry and physics. It helps explain why physical processes go one way and not the other: why ice melts, why cream spreads in coffee, why air leaks out of a punctured tire. It’s entropy, and it’s notoriously difficult to wrap our heads around. Jeff Phillips gives a crash course on entropy. Lesson by Jeff Phillips, animation by Provincia Studio.
Views: 1324455 TED-Ed
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.
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: 8141035 Nerdwriter1
What is Deconstruction?
 
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Mr. Nance talks briefly about Deconstruction.
Views: 125120 Tim Nance
Text Corpus Analysis - PoolParty Tutorial #21
 
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The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content. PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries.
The Future of Text Analysis
 
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An overview of the Texifter vision of the future of text analytic projects.
Views: 768 texifter
Billie Eilish "idontwannabeyouanymore" Official Lyrics & Meaning | Verified
 
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California singer-songwriter Billie Eilish released her debut EP ‘dont smile at me’ in 2017 after going viral with “ocean eyes” a year prior. One of the singles from the release, “idontwannabeyouanymore,” finds the teenage singer addressing her insecurities. Produced by her older brother FINNEAS, the track has been streamed over 26 million times on Spotify and its music video has over 4 million YouTube views. Read more on Genius: https://genius.com/a/billie-eilish-breaks-down-idontwannabeyouanymore-on-genius-series-verified Read all the lyrics to Billie Eilish’s “idontwannabeyouanymore” on Genius: https://genius.com/Billie-eilish-idontwannabeyouanymore-lyrics Subscribe to Genius: http://bit.ly/2cNV6nz Genius on Twitter: https://twitter.com/Genius Genius on Instagram: http://instagram.com/genius Genius on Facebook: https://facebook.com/Geniusdotcom http://genius.com
Views: 5646339 Genius
Discourse Bias Estimation Using Text Network Analysis
 
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Using text network analysis you can estimate discourse polysingularity score. It reflects the structural properties of the text graph. If the text consists of several distinct islands of meaning it is ranked as "diversified" or "equalized" — it presents several different perspectives and none of them takes over the discourse. If there are several clusters of meaning but most influence in the discourse is concentrated in only one topic, the discourse is ranked as "focused" or "opinionated" — it presents a certain opinion on a situation while also informing about the different perspectives. If the text is interconnected and there is no distinct topical structure, but only a repetition of the main influential words, this text has a certain mobilizing agenda and is ranked as "biased", indicating the fact that it is focusing on several key terms and influence is not evenly spread in the network. Try it on http://infranodus.com Open source: http://github.com/noduslabs/infranodus
Views: 131 Nodus Labs
English Language Arts (ELA) Common Core Regents - Part 3 Text Analysis Structure TEA IDEA Explained
 
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So the structure for Part 3 is TEA-IDEA by what does it mean!? T - topic sentence containing central idea E - evidence of central idea A - analysis of evidence I - introduction to writing strategy D - definition of the writing strategy E- evidence of the writing strategy A - (MOST IMPORTANT) final analysis of how the writing strategy develops the central idea!
Views: 16891 learningwithmslee
Text Structure Analysis
 
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Views: 1015 Emily Richey
literary text analysis
 
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This project has been created with Explain Everything™ Interactive Whiteboard for iPad
Views: 273 Mel Mollick
6 Ways Bohemian Rhapsody IGNORED Queen's TRUE STORY!
 
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Is Bohemian Rhapsody Queen's real life or just a fantasy? These are the top 6 facts the Queen biopic got wrong about Freddie Mercury and the band! Bohemian Rhapsody Queen Easter Eggs & Things You Missed ► http://youtu.be/J2xHEgsZJaI Bohemian Rhapsody Deleted Scenes & Songs ► http://youtu.be/ECnCk47As4M Bohemian Rhapsody stars Rami Malek (Freddie Mercury), Lucy Boynton (Mary Austin), Gwilym Lee (Brian May), Ben Hardy (Roger Taylor), Joseph Mazzello (John 'Deacy' Deacon), Aiden Gillen (John Reid), Tom Hollander (Jim 'Miami' Beach), Allen Leech (Paul Prenter), Aaron McCusker (Jim Hutton) & Mike Myers (Ray Foster). Subscribe for more! ► http://bit.ly/FlicksSubscribe Connect with Jan on Twitter ► http://twitter.com/Jan_Gilbert RELATED VIDEOS -------------- Behind-The-Scenes on Bohemian Rhapsody ► http://youtu.be/ET4IxejzCU4 Behind-The-Scenes Secrets About A Star Is Born ► http://youtu.be/PYcHXHd8gro PLAYLISTS YOU MIGHT LIKE ------------------------ Amazing Movie & TV Facts ► http://bit.ly/ThingsYouDidntKnowVideos Ending & Post Credits Scenes Explained ► http://bit.ly/MovieEndingsPostCreditsScenes Movie Deleted Scenes & Rejected Concepts ► http://bit.ly/MovieDeletedScenes Movie & TV Theories ► http://bit.ly/FilmTVTheory Easter Eggs ► http://bit.ly/EasterEggVideos Marvel ► http://bit.ly/MarvelVideos DC ► http://bit.ly/DCVideos Fox Marvel Movies ► http://bit.ly/FoxMarvelVideos Star Wars ► http://bit.ly/StarWarsVids Disney Animation ► http://bit.ly/DisneyAnimationVideos Pixar ► http://bit.ly/PixarVideos Game of Thrones ► http://bit.ly/GameOfThronesVideos SOCIAL MEDIA & WEBSITE ---------------------- Twitter ► http://twitter.com/FlicksCity Facebook ► http://facebook.com/FlicksAndTheCity Google+ ► http://google.com/+FlicksAndTheCity Website ► http://FlicksAndTheCity.com Featured on http://flicksandthecity.com/top-6-queen-facts-bohemian-rhapsody-got-wrong/ DISCLAIMER: Any images and video used belong to the respective copyright holder and are used under fair use rules for the purpose of criticism and review. Radio Rock by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/ Freddie Mercury performing in New Haven image by Carl Lender https://commons.wikimedia.org/wiki/File:Freddie_Mercury_performing_in_New_Haven,_CT,_November_1977.jpg University of West London Bohemian Rhapsody Poster image by Roger Green https://en.m.wikipedia.org/wiki/File:University_of_West_London_Bohemian_Rhapsody_Poster.jpg Madonna image by David Shankbone https://commons.wikimedia.org/wiki/File:Madonna_at_the_premiere_of_I_Am_Because_We_Are.jpg BOHEMIAN RHAPSODY is a foot-stomping celebration of Queen, their music and their extraordinary lead singer Freddie Mercury, who defied stereotypes and shattered convention to become one of the most beloved entertainers on the planet. The film traces the meteoric rise of the band through their iconic songs and revolutionary sound, their near-implosion as Mercury's lifestyle spirals out of control, and their triumphant reunion on the eve of Live Aid, where Mercury, facing a life-threatening illness, leads the band in one of the greatest performances in the history of rock music. In the process, cementing the legacy of a band that were always more like family, and who continue to inspire outsiders, dreamers and music lovers to this day. #BohemianRhapsody #Queen #FreddieMercury
Views: 4550489 Flicks And The City
To His Coy Mistress by Andrew Marvell Analysis
 
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This video considers the key messages and methods used by the metaphysical poet Marvell to portray lust in 'To His Coy Mistress
Views: 12700 MissHannaLovesGrammar
She Walks in Beauty by Lord Byron Analysis
 
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This video concentrates on the overarching themes and ideas as conveyed by the language and structure of the poem She Walks in Beauty by Lord Byron
Views: 26649 MissHannaLovesGrammar
Office Hours - Topic Modeling: Unsupervised Learning in Text Analysis
 
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This week +Raj Bandyopadhyay will be diving into topic modeling. He'll be using this example code as a base: ​http://scikit-learn.org/stable/auto_examples/applications/topics_extraction_with_nmf.html. Check it out in advance!
Views: 2495 Springboard
QUEEN - BOHEMIAN RHAPSODY (Lyric Breakdown)
 
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SUBSCRIBE to the REACT Channel: http://goo.gl/47iJqh Watch all episodes of LYRIC BREAKDOWN: http://goo.gl/s1hBwq Watch all REACT channel videos from this week - http://goo.gl/th0yyt The Teens read and interpret the lyrics to one of Queen's most popular songs, Bohemian Rhapsody. Stay tuned for more Lyric Breakdown, once a month on Thursdays here on the REACT channel. Follow Fine Brothers Entertainment: MAIN CHANNEL: http://www.youtube.com/FBE SECOND CHANNEL: http://www.youtube.com/FBE2 REACT CHANNEL: http://www.youtube.com/REACT FACEBOOK: http://www.facebook.com/FineBros TWITTER: http://www.twitter.com/fbe INSTAGRAM: http://www.instagram.com/fbe SNAPCHAT: finebros VINE: https://vine.co/TheFineBros TUMBLR: http://fbeofficial.tumblr.com GOOGLE+: http://www.google.com/+thefinebros SEND US STUFF: Fine Brothers Entertainment: P.O. BOX 4324 Valley Village, CA 91617-4324 -------------------------- The following episode featured the following Reactors: Adam Ethan Eric Jade Rachel Riley Rumor Seth Tom Tori ------------------------------------- Credits: Created by Benny & Rafi Fine (The Fine Brothers) http://www.youtube.com/TheFineBros Produced by Vincent Ieraci Production Assistant - Danny Donaldson Post Production Supervisor - Nick Bergthold Graphics & Animation - Will Hyler Editor - Brad Hansen & Jordan Towles Assistant Editor - Cara Bomar Music by- Cyrus Ghahremani © Fine Brothers Entertainment You are prohibited from distributing this show or any React branded content in any way without express consent in any territory worldwide.
Views: 7739353 REACT
What's So Great About Casablanca? Ask a Film Professor.
 
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We all know Casablanca is a great movie -- but what makes it great? We talked to film professor Julian Cornell about why Casablanca is one of the classic love stories in cinema. Buy or rent Casablanca on Amazon: http://amzn.to/2pIc25I Sign up to our email newsletter for updates on new videos, fun film trivia, news on giveaways, longform content, events and more! http://bit.ly/2oVVB1Q If you like this video, subscribe to our YouTube channel for more: http://www.youtube.com/c/Screenprism Like ScreenPrism on Facebook: http://www.facebook.com/screenprism Follow ScreenPrism on Twitter: http://twitter.com/screenprism Visit ScreenPrism.com: http://screenprism.com/
Views: 267142 ScreenPrism
Like Pale Gold - The Great Gatsby Part I: Crash Course English Literature #4
 
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In which John Green explores F. Scott Fitzgerald's novel of the Jazz Age, The Great Gatsby. John introduces you to Nick Carraway, Jay Gatsby, Daisy and Tom Buchanan, and the other characters in the novel, and tries to look beyond the surface story to figure out what this thing is ABOUT. Set in the 1920's against a conflicted backdrop of prohibition and excess, The Great Gatsby takes a close look at the American Dream as it existed in Fitzgerald's time. It turns out, it had a lot to do with money and status, and it still does today. John will cover the rich symbolism of the novel, from the distant green light to the pale gold of wealth and decay. Also, Paris Hilton drops by. Turn on the captions. You'll like it. Follow us! @thecrashcourse @realjohngreen @crashcoursestan @raoulmeyer @thoughtbubbler @saysdanica Like us! http://www.facebook.com/youtubecrashcourse Support CrashCourse on Patreon: https://www.patreon.com/crashcourse
Views: 2215517 CrashCourse
Machine Learning Lecture 2: Sentiment Analysis (text classification)
 
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In this video we work on an actual sentiment analysis dataset (which is an instance of text classification), for which I also provide Python code (see below). The approach is very similar to something that is commonly called a Naive Bayes Classifier. Website associated with this video: http://karpathy.ca/mlsite/lecture2.php
Views: 50772 MLexplained
Ariana Grande - thank u, next (Lyrics)
 
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» Download Ariana Grande - thank u, next (Lyrics): https://arianagrande.lnk.to/thankunextYD 🎵 Spotify Playlist: http://spotify.syrebralvibes.com ⚡ Instagram: https://www.instagram.com/syrevibes » Support SyrebralVibes: https://open.spotify.com/user/syrebralvibes https://www.instagram.com/syrevibes http://spotify.syrebralvibes.com » Support Ariana Grande: https://www.arianagrande.com/ https://www.instagram.com/arianagrande/?hl=en https://twitter.com/ArianaGrande » Side channels: FutureHype - https://www.youtube.com/channel/UCTwct4oAsyuyGxOtva0FcUg LatinHype - https://www.youtube.com/channel/UC-AlofdKECUdhXrbJQZ6iEg » Visuals by UniqueVibes: https://www.youtube.com/c/UniqueVibesMusic » Wallpaper - https://www.unsplash.com Submission Form: http://goo.gl/forms/fcFkjgFKmpzy59GH2 Buisness Inquires: [email protected] 💖Comment "i love u" if you're reading this #ArianaGrande #ThankUNext #Lyrics
Views: 14102327 SyrebralVibes
Media Text analysis
 
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Views: 22 Kate Berube
Lecture 50 — Contextual Text Mining  Contextual Probabilistic Latent Semantic Analysis | UIUC
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Visual Text Analysis
 
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Tutorial explaining how to analyse visual texts for subject English, with an emphasis on the applicable metalanguage. Most suitable for Years 10-12.
Views: 97 Mrs Wilkinson
Childish Gambino - Feels Like Summer
 
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“Feels Like Summer” by Childish Gambino http://smarturl.it/n3g9db8 tour tickets and merchandise available at http://www.childishgambino.com/ Directed by Donald Glover, Ivan Dixon & Greg Sharp Character Design by Justin Richburg Co-Produced by Fam Rothstein for Wolf + Rothstein
Views: 77965081 ChildishGambinoVEVO
Natural Language Processing Tutorial Part 2 | NLP Training Videos | Text Analysis
 
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Natural Language Processing Tutorial Part 2 | NLP Training Videos | Text Analysis https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=9LLs2I8_gQQ&campaign=youtube_channel&utm_source=youtube&utm_medium=NLP-part-2&utm_campaign=youtube_channel Hello and Welcome back to Data Science tutorials powered by Acadgild. In the previous video, we came across the introduction part of the natural language processing (NLP) which includes the hands-on part with tokenization, stemming, lemmatization, etc. If You have missed the previous video, kindly click the following link for the better understanding and continuation for the series. NLP Training Video Part 1 - https://www.youtube.com/watch?v=Na4ad0rqwQg In this tutorial, you will be able to learn, • What are the stop keywords and its importance in the process of text analysis? Before going to the core topic let’s understand the difference between Lemmatization and Stemming. Lemmatization Vs Stemming: Lemmatization: • Word representations have meaning • Takes more time than stemming • Use lemmatization when the meaning of words is important for analysis • For example, question answering application. Stemming: • Word representations may not have any meaning • Takes less time • Use stemming when the meaning of words is not important for analysis. • For example, spam detection Kindly go through the hands-on part to learn more about the usage of stop keywords in text analysis. Please like, share and subscribe the channel for more such videos. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 360 ACADGILD
Video SparkNotes: Arthur Miller's The Crucible summary
 
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Check out Arthur Miller's The Crucible Video SparkNote: Quick and easy The Crucible synopsis, analysis, and discussion of major characters and themes in the novel. For more The Crucible resources, go to www.sparknotes.com/lit/crucible.
Views: 949623 VideoSparkNotes
Text Analysis Part 1
 
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Views: 68 Tim H
What is POSTCOLONIALISM? What does POSTCOLONIALISM mean? POSTOCOLONIALISM meaning
 
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The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 What is POSTCOLONIALISM? What does POSTCOLONIALISM mean? POSTOCOLONIALISM meaning - POSTCOLONIALISM definition - POSTCOLONIALISM explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Postcolonialism or postcolonial studies is an academic discipline that analyzes, explains, and responds to the cultural legacy of colonialism and imperialism. Postcolonialism speaks about the human consequences of external control and economic exploitation of a native people and its lands. Drawing from postmodern schools of thought, postcolonial studies analyse the politics of knowledge (creation, control, and distribution) by examining the functional relations of social and political power that sustain colonialism and neocolonialism—the imperial regime's depictions (social, political, cultural) of the colonizer and of the colonized. As a genre of contemporary history, postcolonialism questions and reinvents the manner in which a culture is being viewed, challenging the narratives expounded during the colonial era. Anthropologically, it records human nations between the colonists and the peoples under colonial rule, seeking to build an understanding of the nature and practice of colonial rule. As a critical theory, it presents, explains, and illustrates the ideology and practice of neocolonialism with examples drawn from history, political science, philosophy, sociology, anthropology, and human geography. It also examines the effects of colonial rule on the cultural aspects of the colony and its treatment of women, language, literature, and humanity. As an epistemology (the study of knowledge, its nature and verifiability), as an ethics (moral philosophy), and as a politics (affairs of the citizenry), the field of postcolonialism address the politics of knowledge—the matters that constitute the postcolonial identity of a decolonised people, which derives from: (i) the coloniser's generation of cultural knowledge about the colonised people; and (ii) how that Western cultural knowledge was applied to subjugate a non–European people into a colony of the European Mother Country, which, after initial invasion, was effected by means of the cultural identities of 'coloniser' and 'colonised'. A decolonised people develop a postcolonial identity from the cultural interactions among the types of identity (cultural, national, ethnic) and the social relations of sex, class, and caste; determined by the gender and the race of the colonised person; and the racism inherent to the structures of a colonial society. In postcolonial literature, the anti-conquest narrative analyses the identity politics that are the social and cultural perspectives of the subaltern colonial subjects—their creative resistance to the culture of the coloniser; how such cultural resistance complicated the establishment of a colonial society; how the colonisers developed their postcolonial identity; and how neocolonialism actively employs the Us-and-Them binary social relation to view the non-Western world as inhabited by The Other. The neocolonial discourse of geopolitical homogeneity conflates the decolonised peoples, their cultures, and their countries, into an imaginary place, such as "the Third World", an over-inclusive term that usually comprises continents and seas, i.e. Africa, Asia, Latin America, and Oceania. The postcolonial critique analyses the self-justifying discourse of neocolonialism and the functions (philosophic and political) of its over-inclusive terms, to establish the factual and cultural inaccuracy of homogeneous concepts, such as "the Arabs" and "the First World", "Christendom" and "the Muslim World", actually comprise heterogeneous peoples, cultures, and geography, and that realistic descriptions of the world's peoples, places, and things require nuanced and accurate terms.
Views: 41350 The Audiopedia
Eulalia Veny - Recipe for text analysis in social media
 
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Recipe for text analysis in social media: [EuroPython 2018 - Talk - 2018-07-25 - PyCharm [PyData]] [Edinburgh, UK] By Eulalia Veny The analysis of text data in social media is gaining more and more importance every day. The need for companies to know what people think and want is key to invest money in providing customers what they want. The first approach to text analysis was mainly statistical, but adding linguistic information has been proven to work well for improving the results. One of the problems that you need to address when analyzing social media is time. People are constantly exchanging information, users write comments every day about what they think of a product, what they do or the places they visit. It is difficult to keep track of everything that happens. Moreover, information is sometimes expressed in short sentences, keywords, or isolated ideas, such as in Tweets. Language is usually unstructured because it is composed of isolated ideas, or without context. I will talk about the problem of text analysis in social media. I will also explain briefly Naïve Bayes classifiers, and how you can easily take advantage of them to analyse sentiment in social media, and I will use an example to show how linguistic information can help improve the results. I will also evaluate the pros and cons of supervised vs unsupervised learning. Finally, I will introduce opinion lexicons, both dictionary based and corpus-based, and how lexicons can be used in semi-supervised learning and supervised learning. If I have time left, I will explain about other use cases of text analysis. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/
Rough Text Analysis
 
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Rough Text Analysis
Views: 343 kmjohnson25
CSI German Translation - Michael Schumacher
 
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CSI FORENSIC ANALYSIS OF TEXT Read the text and initially try to establish the gist of the meaning. Identify sentence starters, subjects, verbs and objects. What tense are the verbs? IMPORTANT: Translation is about meaning, NOT words. Click below for vocab and help. VERBS beten = to pray sich erholen = to recover erleiden = to suffer NOUNS Unfall = accident Gedanke = thought ADJ ehemalig = former / previous schwer = severe / hard / serious
Views: 318 Jon Blackbourn
The Secret World Of Lewis Carroll (Alice In Wonderland Documentary) | Timeline
 
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Check out our new website for more incredible history documentaries: HD and ad-free. http://bit.ly/2O6zUsK ALICE IN WONDERLAND is said to be the most quoted book in print, second only to The Bible, with a passionate army of fans who regularly congregate around the world to celebrate its rich and playful world. But what of its creator, the mild-mannered and unassuming Oxford University Math Don, Charles Lutwidge Dodgson, aka. Lewis Carroll? Famed not only for his wonderful stories, Carroll is also known for his ambiguous relationship with the young girl who inspired his most beloved creation, Alice Liddell, a seemingly innocent infatuation that he documented in his pioneering photography. With contributions from the likes of thespian Richard E. Grant, social commentator Will Self and author Philip Pullman, at once adoring and provocative this documentary casts a conflicted eye over the creation of Wonderland. Pouring through historical evidence and stories passed down through generations, hear the tale of Carroll’s first encounter with the three Liddell girls and the first telling of Alice’s tumble down the rabbit hole one summer’s afternoon in a boat upon the River Thames. Documentary first broadcast in 2015. Content licensed from All3 Media International. Produced by Swan Films.
Cinematic Level  Definition and Framing
 
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What is the cinematic level of film, and how does it differ from both the literal level and the dramatic level? Additionally, how can we move from observation or summary of a text to the analysis of a text. Finally, what is framing and how do medium, long, and close-up framing choices impact film? Watch on to find out!
Film Theory: Neo ISN'T The One in The Matrix Trilogy
 
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Subscribe to join the Film Theorists! ►► http://bit.ly/1dI8VBH The Hidden Meaning of Matrix: Reloaded! ► http://bit.ly/1Q8BGUU Visit our friends over at Wisecrack! ► http://bit.ly/1dUhzfC Think you know the Matrix? Weren't even born when the first Matrix movie came out? Either way, you probably know this world-is-a-computer-simulation sci-fi series by its slo-mo bullets, screens full of green text, and a whole lot of Keanu Reeves making his "serious face." What you might NOT know about the Matrix is that the main character, Neo, is not actually the savior of the world and acts is actually just a pawn throughout the entire series meant to throw off you and almost everyone else in the movie. But that begs the question: If Neo isn't the ONE, who IS? Like the theme song? Thanks to CARF! https://www.youtube.com/user/carfmobile SOCIAL MEDIA: Twitter: @MatPatGT Facebook: facebook.com/GameTheorists Instagram: instagram.com/matpatgt MORE FILM THEORY! The TRUTH about Jon Snow ► http://bit.ly/1dHmLUW Can Dr. Who's Doctor be a HUMAN? ► http://bit.ly/1AGes5S Are VIDEO GAMES the future of movies? ► http://bit.ly/1I2qc5b How to Win an Oscar for BEST ACTOR! ► http://bit.ly/1SRa0a4 How to Win an Oscar for BEST PICTURE! ► http://bit.ly/1daa1oQ
Views: 8158178 The Film Theorists
text mining, web mining and sentiment analysis
 
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text mining, web mining
Views: 1466 Kakoli Bandyopadhyay
Eminem - Like Toy Soldiers
 
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Music video by Eminem performing Like Toy Soldiers. YouTube view counts pre-VEVO: 2,799,494. #VEVOCertified on Nov. 26, 2012. http://vevo.com/certified http://youtube.com/vevocertifed iTunes: http://smarturl.it/LikeToySoldiers Amazon: http://smarturl.it/LikeToySoldiersAmz Google Play: http://smarturl.it/LikeToySoldiersGP (C) 2004 Aftermath Entertainment/Interscope Records
Views: 341817799 EminemVEVO
Metallica - Nothing else matter lyrics
 
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METALLICA NOTHING ELSE MATTER Lyrics Hope you enjoy. Subscribe
Views: 52753673 YefteArcade
Little Mix - Woman Like Me (Official Video) ft. Nicki Minaj
 
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Little Mix – Woman Like Me ft. Nicki Minaj (Official Music Video) – Listen here: http://smarturl.it/WomanLikeMe Get it on iTunes http://smarturl.it/WomanLikeMe/itunes Apple: http://smarturl.it/WomanLikeMe/applem... GooglePlay: http://smarturl.it/WomanLikeMe/google... Spotify: http://smarturl.it/WomanLikeMe/spotify Amazon: http://smarturl.it/WomanLikeMe/amazon... Stream more music from Little Mix here: http://smarturl.it/LMixSpotify More from Little Mix Cheat Codes, Little Mix - Only You: https://youtu.be/T2sO8gK2IKk Nothing Else Matters: https://youtu.be/RlSzahonkTk CNCO, Little Mix - Reggaetón Lento: https://youtu.be/UONnRMuuDps Follow Little Mix: Facebook https://www.facebook.com/LittleMixOff... Twitter https://twitter.com/LittleMix Instagram https://www.instagram.com/littlemix/ More great videos here http://smarturl.it/littlemixVEVO Subscribe to Little Mix on YouTube: http://smarturl.it/littlemixYT Lyrics JESY I always say what I’m feeling I was born without a zip on my mouth Sometimes I don't even mean it It takes a little while to figure me out LEIGH I like my coffee with two sugars in it High heels and my jewellery dripping Drink and I get all fired up, hey, hey, hey Insecure but I’m working with it Many things that I could get rid of Ain’t about to give it up JADE I made a few mistakes I regret it nightly I broke a couple hearts that I wear on my sleeve My momma always said, “girl you’re trouble” and And now I wonder could you fall for a woman like me PERRIE And every time we touch boy you make me feel weak I can tell you’re shy and I think you’re so sweet Spending every night under covers and Still I wonder could you fall for a woman like me CHORUS Woman like me, like a woman like me, la la la Woman like me, like a woman like me, la la la Woman like me, like a woman like me, la la la Woman like me, like a woman like me JESY And baby just be mine for the weekend We can get a takeaway and sit on the couch Or we could just go out for the evening Hopefully end up with you kissing my mouth LEIGH You got them blue jeans with a rip up in them My hair with your fingers in it Love it when you turn me on Yoncé with a little bit of Love drunk in the middle with it Get down to our favourite song JADE I made a few mistakes I regret it nightly I broke a couple hearts that I wear on my sleeve My momma always said, “girl you’re trouble” and And now I wonder could you fall for a woman like me PERRIE And every time we touch boy you make me feel weak I can tell you’re shy and I think you’re so sweet Spending every night under covers and Still I wonder could you fall for a woman like me CHORUS NICKI (RAP) Woman like me Yes a woman like me Soon as I brush up on him I could tell he like me You know all the mandem a try to swipe me Knotted up he could afford to ice me Tell’em it’s a bad trini bitch in ah ya area But the more bad bitches then the more merrier Baddies to my left and to the right a little scarier Rude boy tell me can you handle all this derriere? A million I’m getting my billy on Greatest of all time cus I’m a chameleon I switch it up for every era, I’m really bomb These bitches really wanna be Nicki I’m really mom Apple cut the check I want all this money Seven up go grip the tech And leave all this bloody It’s the queen and Little Mix Skated on them. Sorry My daddy is Indian- swish all this Curry Woman like me, like a woman like me, la la la Woman like me, like a woman like me JADE I made a few mistakes I regret it nightly, I broke a couple hearts that I wear on my sleeve, My Mumma always said, “girl you’re trouble” and And now I wonder could you fall for a woman like me, PERRIE And every time we touch boy you make me feel weak, I can tell you’re shy and I think you’re so sweet, Spending every night under covers
Views: 50083236 littlemixVEVO
Classics Summarized: Dante's Inferno
 
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BREAKING NEWS: Overly Sarcastic Productions has a twitter now! Check it out: https://www.twitter.com/OSPyoutube/ PURGATORIO (part 2 of the Divine Comedy) HERE: http://youtu.be/8-ImAfevCOM I'm back, baby! For this week's venture into literature, we take a broad look at The Inferno. Hold onto your butts. PATREON: www.patreon.com/user?u=4664797 MERCH LINKS: Shirts - https://overlysarcasticproducts.threadless.com/designs All the other stuff - http://www.cafepress.com/OverlySarcasticProducts Find us on Twitter @OSPYouTube!
Text Clustering Using CFWMS Algorithm
 
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Based on the word meaning sequences we are going to do text clustering
Views: 302 GRIETCSEPROJECTS

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