Search results “Analysis of text meaning”
Text Analysis
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Views: 1251 Andie Worsley
HSC English Advanced - Discovery Text Analysis
In this HSC English Advanced video on Discovery text analysis, we show you exactly how to analyse your Discovery texts. Get keen! To watch more videos, head to our website at https://getatomi.com Subscribe to our channel for more FREE videos: http://youtube.com/user/HscHubVid Like us on Facebook for handy study tips and blog articles on how to smash your HSC: https://www.facebook.com/Hschub Follow Atomi on Instagram: https://www.instagram.com/get.atomi Follow Atomi news on Twitter: https://twitter.com/atomihq
Views: 9546 Atomi
Excel 101: Basic Text Analysis
This video shows how to combine individual text cells into one paragraph, parse cells with multiple words in to individual values, as well as create a word cloud using an external website (no affiliation).
Views: 1102 Adaptalytics, LLC
Text and discourse analysis
This is Module 6 Text and Discourse Analysis at James Cook University. Please subscribe and comment below.
How to Make a Text Summarizer - Intro to Deep Learning #10
I'll show you how you can turn an article into a one-sentence summary in Python with the Keras machine learning library. We'll go over word embeddings, encoder-decoder architecture, and the role of attention in learning theory. Code for this video (Challenge included): https://github.com/llSourcell/How_to_make_a_text_summarizer Jie's Winning Code: https://github.com/jiexunsee/rudimentary-ai-composer More Learning resources: https://www.quora.com/Has-Deep-Learning-been-applied-to-automatic-text-summarization-successfully https://research.googleblog.com/2016/08/text-summarization-with-tensorflow.html https://en.wikipedia.org/wiki/Automatic_summarization http://deeplearning.net/tutorial/rnnslu.html http://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/ Please subscribe! And like. And comment. That's what keeps me going. Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 164912 Siraj Raval
AntConc 101: A quick introduction to text corpus analysis
A quick introduction to AntConc that covers loading a collection of text files (we use Project Gutenberg to download Sherlock Holmes novels), exploring with collocation generation, and exporting outputs to an Excel-friendly tab-spaced txt format. Download AntConc: http://www.laurenceanthony.net/software/antconc/ Project Gutenberg: http://gutenberg.org/ Background music: "Uplifting" by Podington Bear (used via Creative Commons attribution no-commercial license) Full transcript: AntConc is an open-source corpus analysis toolkit. It’s main function is to identify patterns in large collections of texts, such as novels, blog posts, e-mails, or essays. These patterns might provide you with valuable clues for your research. Today, we’re going to show you how to get started with AntConc and quickly demo some of its powerful features. You can download the version for your operating system directly from the author’s website - we’ll include a link in the description too. Next, let’s load in some texts. Project Gutenberg hosts one of the largest collection of public domain e-books in the world. Let’s look at the Sherlock Holmes detective books written by Sir Arthur Conan Doyle. Note that you must use files in a plain text format like .txt with AntConc - you can use a program like Microsoft Word to convert a document to .txt format if you need to. Now that we’ve loaded our texts into AntConc, we’re ready to analyze. The Collocate feature works like a search engine that scans our entire corpus. Let’s look for all instances of MURDER. The Concordance Plot visualizes the exact moment where MURDER appears in our novels -- or at least where the word murder appears. AntConc contains a number of features to discover trends in the words that occur near or next to our search terms. For today, let’s try Collocate searches with a few different words. AntConc uses a combination of searching and statistical analysis to show us words that appear near our search term, and that were unlikely to appear there by chance alone. You may wish to play with some of the parameters in the bottom right of the screen. I’m increasing the minimum frequency to 5, which helps make sure AntConc is capturing repeated trends in our data and not just a single weird phrase that appeared once. AntConc can export your results through the Save Output to Text File feature. These are plain text files, but they use tab-separated formatting -- which means that you can load them into a spreadsheet with Excel! This gives you a lot of options to work further with the data. I hope you enjoyed this introduction, and that you keep exploring -- we’ll include some links in the description to other webinars and tutorials. Enjoy AntConc and thanks for watching!
Text Analysis - Intro to Computer Science
This video is part of an online course, Intro to Computer Science. Check out the course here: https://www.udacity.com/course/cs101.
Views: 1625 Udacity
How to easily perform text data content analysis with Excel
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: 62121 etableutilities
Making Meaning from Text: Character Analysis
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: 208 OELMA1
Text Mining (part 8) -  Sentiment Analysis on Corpus in R
Sentiment Analysis Implementation Find the terms here: http://ptrckprry.com/course/ssd/data/positive-words.txt http://ptrckprry.com/course/ssd/data/negative-words.txt
Views: 7302 Jalayer Academy
Thanks for watching my latest meme compilation video. These memes are PG friendly as always. Scrubscribe ► https://goo.gl/VuNppI More Text2Memes ► https://www.youtube.com/watch?v=1RarOlpmvwY&index=3&list=PLGEY7UdrBPRickJ_05BUAcnbINjAULt0G&t=0s Discord ►https://discord.gg/b5Atesz
Views: 670334 Text2Meme
LIWC Text Analysis Tutorial
In this tutorial, we will go over how to utilize LIWC software (http://liwc.wpengine.com/) to conduct content and sentiment analysis on your very own documents. This is Part 2/2 of our video series showing how to scrape and analyze reddit comment threads. For Part 1, follow the link: https://www.youtube.com/watch?v=yexxcrPC7U8&feature=youtu.be
Views: 7158 I Johar
Text Dependent Analysis: Nonfiction
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 -----------------------------------------------------------------------------------------------------------
Rammstein - Radio (Official Video)
New Album: https://rammstein.lnk.to/album New Single: https://rammstein.lnk.to/Radio Director: Jörn Heitmann Production Company: Katapult #Rammstein #RammsteinRadio #Radio
Views: 30073413 Rammstein Official
Python Sentiment Analysis For Text Analytics
Complete project details with full project source code and database visit at : https://www.freeprojectz.com/paid-project/python-sentiment-analysis-project/text-analytics Usually, Sentimental analysis is used to determine the hidden meaning and hidden expressions present in the data format that they are positive, negative or neutral. While text analytics is generally used to analyze unstructured text data to extract associated information with it and try to convert that unstructured text data into some useful meaningful data for business intelligence. Hence, when we apply sentimental analysis for text analytics then, the hidden meaning and expression of text data are taken out in positive, negative or neutral form and later it gets properly converted into meaningful structured text data format. If you need this project then you call or whatsapp me on +91-8470010001. You can also write email us on [email protected] Premium Projects : https://www.freeprojectz.com/premium-projects Free Project Source Code and Database: https://www.freeprojectz.com/free-projects-with-source-code
Views: 325 FreeProjectz
How to: Common Core Text Analysis Response
This tutorial will explain how to write a text-analysis response. This is part three of the Common Core English exam. Prior to viewing this tutorial, you should review Munro Leaf’s story Ferdinand the Bull While the texts on the actual Regents exam will be much more complex, this text will allow you to practice developing the response with more ease. You can find Disney's version of Ferdinand the Bull here on YouTube or read the story below: Ferdinand the Bull by Munro Leaf Once upon a time in Spain, there lived a bull and his name was Ferdinand. All of the other little bulls in the pasture loved to run around and butt their heads together, but not Ferdinand. Ferdinand preferred to just sit quietly and smell the flowers. He had a favorite spot in the shade under a cork tree in the pasture. He would sit there all day long and sit just quietly and smell the flowers. His mother, who was a cow, asked him if he wanted to play and butt heads like the other little bulls, but Ferdinand said ‘No,’ because he preferred to just sit quietly and smell the flowers. His mother, who was very understanding, even though she was a cow, decided to just let him be happy there under the cork tree. After a while Ferdinand grew into a big, strong bull. All of the other bulls in the field still ran around and butted their horns together. What they wanted more than anything in the world was to be chosen for the big bull fights in Madrid. But not Ferdinand, he preferred to just sit quietly and smell the flowers. One day, a group of men from Madrid came to the pasture to choose a bull for the bull fights. All of the bulls were so excited and proudly showed off how tough they were by butting their heads together and acting very fierce. Ferdinand knew he would not be chosen, so he left to go sit under his cork tree in the shade. Ferdinand was not very careful. When he found a spot, he sat down without looking and he sat straight down on a bee! Now if you were a bee and a big bull like Ferdinand sat on you, what would you do? You would sting him, right? Well that is exactly what this bee did. Ferdinand jumped up and ran around bucking, jumping, and acting like he was crazy. The men from Spain in the funny hats were so excited; they knew they had found the toughest meanest bull in the whole country. They took Ferdinand away to Madrid in a cart. On the day of the big bull fight, the people in Madrid were so excited to see the toughest bull in all of Spain. Everyone waved around handkerchiefs and shouted loudly. The women all wore flowers in their hair. They even had a parade. The parade led into the bull ring. First came the banderilleros who would stick the bull to make him mad. Then came the picadores who rode big horses and stuck the bull with a long spear to make him even madder. Then came the matador, the toughest of them all. The matador stuck the bull last of all. He was so excited to fight the toughest bull in all of Spain. Last of all came the bull. And you know who that was don’t you? Ferdinand! They took Ferdinand out into the center of the ring. As he rode in the cart, he smelled all of the beautiful flowers worn by the ladies in the crowd. He was amazed at all of the people there to watch him. When they let him out of the cart, the banderilleros, picadors, and matador were all very afraid. Ferdinand slowly walked out of the cart and into the bull ring, sat down quietly and just smelled. No one could get Ferdinand to fight. The banderilleros tried, the picadores tried, the matador tried but no one could get Ferdinand to fight. The matador was so upset that he started crying. But, Ferdinand knew that he did not have to show the people how brave and strong he was. They took Ferdinand home to the pasture. And for all I know, he is still there, under then cork tree, just sitting quietly smelling the flowers.
Views: 5095 MsValentine10
Text Dependent Analysis Lesson
Recorded with http://screencast-o-matic.com
Views: 10148 Sarah Dilling
Top 15 Secret Messages in Famous Songs
► Narrated by Chills: http://bit.ly/ChillsYouTube Follow Top15s on Twitter: http://bit.ly/Top15sTwitter Follow Chills on Instagram: http://bit.ly/ChillsInstagram Follow Chills on Twitter: http://bit.ly/ChillsTwitter Subscribe to Chills on Reddit: http://bitly.com/ChillsReddit In this top 15 list, we look at secret messages in famous songs by popular artists. These include mysteriously hidden songs on albums to creepy symbolism in music videos. Enjoy our analysis of these entries. Written by: jessicaholom Edited by: Huba Áron Csapó Sources: https://pastebin.com/KZwkW7Fp Music: Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0
Views: 2731810 Top15s
Game Theory: Minecraft's Ending, DECODED!
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: 9292529 The Game Theorists
Understanding "The Lottery" by Shirley Jackson
a college prof explains the story's meanings (some, anyway!)
Views: 265379 SixMinuteScholar
Rough Text Analysis
Rough Text Analysis
Views: 345 kmjohnson25
Qualitative analysis of interview data: A step-by-step guide
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: 766488 Kent Löfgren
Hidden Meanings Behind J. Cole's 'Middle Child' Video Explained
J. Cole released the much anticipated music video to his song, “Middle Child." We look at all the hidden meanings, Easter eggs, and references that even the biggest hip hop fans might have missed. In the video he seems to reference the fact that he's yet to win a Grammy and that he's awkwardly stuck between two hip hop generations. He also appears to tackle the topic of cultural appropriation of black people and artists. What might be most interesting is that the video might be referencing his past beef rapper L'il Pump. The video shows that while Cole is continuously overlooked in the music industry, the rapper is still a quiet but deadly hunter. In the video, he puts rappers' heads on a mantle, and shows a white woman literally shopping for a black woman's face. Here’s a breakdown of all things you may have missed in the rapper’s newest video. MORE MUSIC CONTENT: All The Easter Eggs In Ariana Grande’s Video For ‘Break Up With Your Girlfriend, I’m Bored’ https://www.youtube.com/watch?v=ZtW7UkUJBH8 All The Easter Eggs In Ariana Grande’s Video For '7 Rings' https://www.youtube.com/watch?v=MGqD2EHV5ok Hidden Meanings Behind Childish Gambino's 'This Is America' Video Explained https://www.youtube.com/watch?v=9_LIP7qguYw ------------------------------------------------------ #JCole #MiddleChild #INSIDER INSIDER is great journalism about what passionate people actually want to know. That’s everything from news to food, celebrity to science, politics to sports and all the rest. It’s smart. It’s fearless. It’s fun. We push the boundaries of digital storytelling. Our mission is to inform and inspire. Subscribe to our channel and visit us at: https://insder.co/2NCg6Sg INSIDER on Facebook: https://insder.co/2NyYczE INSIDER on Instagram: https://insder.co/2xN5qFB INSIDER on Twitter: https://insder.co/2xyN5wE INSIDER on Snapchat: https://insder.co/2KJLtVo Hidden Meanings Behind J. Cole's 'Middle Child' Video Explained
Views: 1852427 INSIDER
Quantitative Text Analysis & Text Exploration with MAXDictio
In this video tutorial we'll give you a brief overview of all the main features of MAXDictio, the module for text exploration and quantitative text analysis (available in MAXQDA Plus & MAXQDA Analytics Pro).
Teaching Text Structures for Non-Fiction Reading
This video shows you how to teach students to identify text structures in non-fiction or informational reading. Research shows that when students learn to identify text structures, they understand and retain the material better. To download the graphic organizers shown in this video and read more about the research supporting the explicit teaching of text structures, go to http://www.cultofpedagogy.com/text-structures
Views: 105343 Cult of Pedagogy
Rammstein - Deutschland (Official Video)
New Single / New Album: https://www.rammstein.com Video Director: Specter Berlin Production: Mmaattcchh Berlin #Rammstein #Deutschland #duhastvielgeweint
Views: 51565142 Rammstein Official
Intro to Text Mining - Text Analysis vs. Text Mining
Rada Mihalcea, Professor in the Computer Science and Engineering department at the University of Michigan, explains the key differences between Text Mining and Text Analysis. Rada is an instructor on SAGE Campus’ Introduction to Text Mining for Social Scientists online course. Find out more: https://campus.sagepub.com/introduction-to-text-mining-for-social-scientists/
Views: 342 SAGE Ocean
literary text analysis
This project has been created with Explain Everything™ Interactive Whiteboard for iPad
Views: 437 Mel Mollick
The Long Road from Text to Meaning
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,...
Views: 11277 Google
Qualitative Analysis: Coding and Categorizing Data by Philip Adu, Ph.D.
Data analysis is all about data reduction. But how do you reduce data without losing the meaning? What is the coding process? What coding strategies can you use? How do you make sure the categories or themes address your research question(s)? How do you present your qualitative findings in a meaningful manner? If you want answers to these questions, watch this video. To access the PowerPoint slides, please go to:https://www.slideshare.net/kontorphilip/qualitative-analysis-coding-and-categorizing To buy Dr. Philip Adu's new book, 'A Step-by-Step Guide to Qualitative Data Coding', please go to Amazon (https://www.amazon.com/Step-Step-Guide-Qualitative-Coding/dp/1138486876/ref=sr_1_3?ie=UTF8&qid=1543874247&sr=8-3&keywords=Philip+adu)
Scert Delhi | project file | phase 2 | Text book Analysis | school records | PTM | D.EL.ED | DIET
Scert Delhi project file For your sep program☺️ phase 2 D.el.ed ,diet Text book Analysis , school records ,PTM (Parent techer meeting) Like, share , comment and subscribe this channel
Views: 1892 DELED DIET
How to train a computer to do text analysis - Interview with Anna Feltracco
In today's video I've invited Anna Feltraco, a Linguistic Expert at Wonderflow, to explain you how machines can make text analysis. After her explanation, you'll be able to understand how deep a machine can go in the text analysis, and how it can avoid biases, providing really accurate results. The mechanisms she explains are what make NLP the best way to analyse tons of texts within a few minutes, and extract meaning from it. Can you think of possible solutions this powerful tool can help humans with? Please leave a comment below! #ConsumerCentric #TextAnalysis #AI ======================================================= Subscribe to my channel here * https://bit.ly/2VSoXiY Visit our company website * https://www.wonderflow.co/ You can also find me on LinkedIn * https://www.linkedin.com/in/riccardoosti/
Views: 531 Riccardo Osti
Lil Nas X "Old Town Road" Official Lyrics & Meaning | Verified
Lil Nas X’s “Old Town Road” has risen to prominence after the song went viral on TikTok and now has more than 78 million Spotify streams to date. The single is produced by YoungKio, Atticus Ross and Trent Reznor. On the track, Lil Nas X raps about starting on the road to fame and fortune with only the bare minimum. Read more on Genius: https://genius.com/a/lil-nas-x-breaks-down-the-meaning-of-old-town-road Read all the lyrics to "Old Town Road" on Genius: https://genius.com/Lil-nas-x-old-town-road-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 #LilNasX #OldTownRoad #Verified
Views: 14631443 Genius
Office Hours - Topic Modeling: Unsupervised Learning in Text Analysis
Interested in becoming a data scientist? Check out our Data Science Career Track: https://www.springboard.com/workshops/data-science-career-track/?utm_source=youtube&utm_campaign=office_hrs&utm_medium=video&utm_term=topic_modeling 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: 3154 Springboard
The Ending Of Shut Up and Dance Explained | Black Mirror Season 3 Explained
The Ending of Black Mirror Season 3 Episode 3 "Shut Up and Dance" (2016) Explained. #Netflix #BlackMirror #EndingExplained Subscribe for more Analysis, Web Series and Everything Scifi: www.youtube.com/c/BryceEdwardBrown Stay updated on these apps! Instagram: https://www.instagram.com/BryceEdwardBrown Facebook: https://www.facebook.com/BryceEdwardBrown Twitter: https://twitter.com/BryceEdBrown This video was made by Bryce Edward Brown
Views: 582542 Bryce Edward Brown
GAME OF THRONES 8x01 Breakdown! Night King Symbol Explained!
Game of Thrones Season 8 Premiere gets a full, in-depth, scene-by-scene breakdown & analysis! Thanks to Audible for sponsoring today's video. Get your free 30 day trial, one free audiobook, and 2 audible originals here! http://www.audible.com/newrockstars OR text "newrockstars" to 500-500! What subtle details and secret symbolism did you miss in Game of Thrones Season 8 Episode 1, titled "Winterfell"? Erik Voss breaks down all the hidden meaning of the disturbing death of Ned Umber and the cryptic message from the Night King, Jon Snow learning about his real parents, and Cersei's mysterious plans. In what ways does this episode connect to the first episode of the series in 2011? Will Bronn kill Tyrion and Jaime? How much does Bran know about the future? And what does the Night King really want? Come see Erik in his live comedy show, DARKEST TIMELINE, Friday May 3 at 8pm (and every first Friday) at the ACME Comedy Theater in North Hollywood! Tickets here: https://www.eventbrite.com/e/darkest-timeline-comedy-tickets-60743849489 CONNECT WITH US! Facebook: http://facebook.com/newmediarockstars Twitter: http://twitter.com/newrockstars CONNECT WITH ERIK: http://www.twitter.com/eavoss SPECIAL THANKS TO OUR PATREON SUPPORTERS (http://www.patreon.com/newrockstars), including these beautiful people: Kelly Hopper Kenny Smith Wilhemina Ebbesen Matthew Salvas Pony Stark CaroleBDCDiva Matthew Ahrens Dory Zein Executive Creative Director: Filup Molina http://www.twitter.com/fimo Post Production Supervisor: Devin Cleary Editors: Joshua Hurd, Devin Cleary, Aaron Carrión Music: "Sci Fi" from Bensound.com
Views: 1457522 New Rockstars
Stemming words from a sentence for text analysis - NLTK Python in Hindi #6
Text Tutorial + Source Code - http://mycodingzone.net/videos/hindi/nlp-hindi-tutorial-6
Post Malone, Swae Lee - Sunflower (Lyrics) (Spider-Man: Into the Spider-Verse)
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: 64178107 Shadow Music
TAPoR: Text Analysis Tools
http://www.markmorton.ca This 23-minute screencast demonstrates how to use the text analysis tools provided by TAPoR.
Views: 1907 uwaterloo
Zedd, Katy Perry - 365 (Official)
Zedd & Katy Perry - 365 (Official Music Video) 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 Listen to “365” from Zedd & Katy Perry: Apple Music: http://zedd.me/365/applemusic Spotify: http://zedd.me/365/spotify Amazon: http://zedd.me/365/amazonunlimited Deezer: http://zedd.me/365/deezer Google Play: http://zedd.me/365/googleplay Soundcloud: http://zedd.me/365/soundcloud iTunes: http://zedd.me/365/itunes YouTube Music: http://zedd.me/365/youtubemusic Follow Zedd: Website: https://www.zedd.net Instagram: http://zedd.me/Instagram Twitter: http://zedd.me/Twitter Spotify: http://zedd.me/SPEssentials Facebook: http://zedd.me/Facebook Snapchat: http://zedd.me/Snapchat Weibo: http://zedd.me/Weibo VK.com: http://zedd.me/VKcom Shop the Zedd Store: http://zedd.me/Store Subscribe to Zedd’s YouTube channel: http://zedd.me/YouTube Follow Katy Perry: Follow Katy Perry: Website: http://katy.to/WebsiteYD Instagram: http://katy.to/InstagramYD Twitter: http://katy.to/TwitterYD Facebook: http://katy.to/FacebookYD 365 Lyrics: Waking up next to you in the middle of the week Never needed anyone to send me off to sleep And I know I said go slow But I can’t hold back no more Got a premonition this ain’t going to be a fling You make a weekend feel like a year Baby you got me changing 24/7 I want you here I hope you feel the same thing I want you to be the one that’s on my mind, on my mind, on my mind I want you to be there on a Monday night, Tuesday night, every night Are you going to be the one that’s on my mind 365, all the time I want you to be the one to stay and give me the night and day Love it when you come back and can’t take it when you leave Got me fantasizing our initials already And I want to just let go, falling deeper than before Say that you already lock it up in a heartbeat I want you to be the one that’s on my mind, on my mind, on my mind I want you to be there on a Monday night, Tuesday Night, every night Are you going to be the one that’s on my mind 365, all the time I want you to be the one to stay and give me the night and day I think about you all the time 24/7 365 I think about you all the time 24/7 365 (I want you to be the one) I want you to be the one that’s on my mind, on my mind, on my mind I want you to be there on a Monday night, Tuesday Night, every night Are you going to be the one that’s on my mind 365, all the time I want you to be the one to stay and give me the night and day I think about you all the time 24/7 365 I think about you all the time 24/7 365 Director: Warren Fu Executive Producer: Whitney Jackson Producer: Benjamin Gilovitz Director of Photography: Arnau Valls 1st AD: Eric Schneider Production Design: John Richoux Stylist: B Akerlund Editor: Taylor Walsh @ Cabin Edit Color: Matt Osborne @ The Mill VFX: Max Colt @ Frender Beauty: Mirada Commissioners: Michelle An and Shannon Leskowitz #Zedd #KatyPerry #365ZeddxKaty #OfficialMusicVideo Music video by Zedd, Katy Perry performing 365. © 2019 Interscope Records http://vevo.ly/cAhpBr
Views: 78689930 KatyPerryVEVO
OCARINA OF TIME - A Masterclass In Subtext
Episode One of The Hyrule Journals. On the Master Sword being the 'essence' of childhood: https://bit.ly/2Fz56Au CREDITS Written, edited and animated by Javed L Sterritt https://twitter.com/JavedLSterritt Additional writing by Satchell Drakes https://twitter.com/SatchellDrakes Music provided in partnership with MUSICBED http://share.mscbd.fm/javedlendlsterritt The Hyrule Journals theme composed by Jonny Higgins https://soundcloud.com/jonnyhiggins/a-lost-child The Hyrule Journals Soundtrack https://spoti.fi/2ZlqPCB SOURCES A full breakdown of sources and resources are over at https://www.thehyrulejournals.com/ AONUMA & MIYAMOTO ON THE '4 GIRLS' https://www.youtube.com/watch?v=ZpM0S8kWsRw SHINTO IN VIDEOGAMES & ZELDA https://killscreen.com/articles/unmistakable-influence-shintoism-videogame-history/ https://femhype.com/2016/05/10/japanese-environmentalism-shinto-the-legend-of-zelda/ IMMORTAL CHILDHOOD by HYLIAN DAN: https://zeldauniverse.net/2011/09/14/immortal-childhood/ FUSHIMI INARI FOOTAGE PROVIDED BY LETTERS FROM JAPAN: https://www.youtube.com/watch?v=d5XjYJsX92A SHINTO CREATION STORY: https://jref.com/articles/shinto.27/ http://www.bbc.co.uk/religion/religions/shinto/texts/stories_1.shtml AMAZING JABU-JABU ARTIST: https://twitter.com/siga4BDN Connect with Good Blood! Good Blood on Twitter: http://bit.ly/1q4ExYi Good Blood on Facebook: http://bit.ly/1CA95fb
Views: 726539 Good Blood
Text Analytics-1 Concept of Text Analysis and available Softwares
This video discusses the concept of Text Analytics vs Data Analysis. There are numerous softwares which can handle such techniques. A brief of some of the prominent softwares is provided here.
Views: 400 Neeraj Kaushik
How to Argue - Philosophical Reasoning: Crash Course Philosophy #2
Before we dive into the big questions of philosophy, you need to know how to argue properly. We’ll start with an overview of philosophical reasoning and breakdown of how deductive arguments work (and sometimes don’t work). -- Images and video via VideoBlocks or Wikimedia Commons, licensed under Creative Commons by 4.0: https://creativecommons.org/licenses/... -- Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Crash Course Philosophy is sponsored by Squarespace. http://www.squarespace.com/crashcourse -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support CrashCourse on Patreon: http://www.patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 2362594 CrashCourse
Joyner Lucas "I'm Not Racist" Official Lyrics & Meaning | Verified
Massachusetts rapper Joyner Lucas went viral earlier this month with “I’m Not Racist,” a two-part, hookless song rapped from the perspectives of a racist, Trump-supporting white man and a black man respectively. The song elicited a range of reactions, racking up over 15 million YouTube views and netting a No. 15 slot on the Billboard Hot 100 chart along the way. As Lucas explains to Genius, the track was designed to stir up people’s emotions. Read more on Genius: https://genius.com/a/joyner-lucas-breaks-down-i-m-not-racist-on-genius-video-series-verified Read all the lyrics to "I'm Not Racist" on Genius: https://genius.com/Joyner-lucas-im-not-racist-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: 5361939 Genius
SICSS 2018 - History of Quantitative Text Analysis (Day 3. June 20, 2018)
Chris Bail talks about the history of quantitative text analysis at the 2018 Summer Institute in Computational Social Science at Duke University. Slides and materials available here: https://compsocialscience.github.io/summer-institute/2018/teaching-learning-materials
Media Text analysis
Views: 31 Kate Berube
J. Cole's 'Middle Child' Music Video Explained By Its Director
Mez has been in the music industry for about 4 years as a rapper, writer and producer. But J. Cole's "Middle Child" is the first video he's directed alongside co-director, Scott Lazer. Mez drew inspiration from movies, his upbringing, and the song’s message to create the video’s concept. He sat down with us to dish on how they and Cole came up with the concepts for the video, what many of the scenes have to say about the portrayal of black women, cultural appropriation, and to put rest to all the rumors about the heads on the mantle. Check out more Voices of Color content here: https://www.facebook.com/VoicesOfColorByInsider/ https://twitter.com/vocinsider MORE MUSIC CONTENT: Hidden Meanings Behind J. Cole's 'Middle Child' Video Explained https://www.youtube.com/watch?v=BGAAJkmlM8E Hidden Meanings Behind Solange's 'When I Get Home' Full Music Film https://www.youtube.com/watch?v=Hjpl8td_sVk All The Easter Eggs In Ariana Grande’s Video For ‘Break Up With Your Girlfriend, I’m Bored’ https://www.youtube.com/watch?v=ZtW7UkUJBH8 ------------------------------------------------------ #JCole #MiddleChild #INSIDER INSIDER is great journalism about what passionate people actually want to know. That’s everything from news to food, celebrity to science, politics to sports and all the rest. It’s smart. It’s fearless. It’s fun. We push the boundaries of digital storytelling. Our mission is to inform and inspire. Subscribe to our channel and visit us at: https://insder.co/2NCg6Sg INSIDER on Facebook: https://insder.co/2NyYczE INSIDER on Instagram: https://insder.co/2xN5qFB INSIDER on Twitter: https://insder.co/2xyN5wE INSIDER on Snapchat: https://insder.co/2KJLtVo INSIDER on Amazon Prime: https://insder.co/PrimeVideo J. Cole's 'Middle Child' Music Video Explained By Its Director
Views: 139001 INSIDER
Natural Language Processing Tutorial Part 2 | NLP Training Videos | Text Analysis
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: 653 ACADGILD
Text Book Brokers Case Analysis
Textbook Brokers Problem and Solution
Views: 38 Dalton Marcy