owentemple / TED-talks
A natural language processing project to reveal linguistic features that predict a persuasive TED Talk. I webscraped every TED Talk transcript and it's metadata through 2017 and then used decision trees, random forest regressors, and linear regression to find key predictors of persuasive ratings by viewers.
☆19Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for TED-talks
- Tutorials for web scraping and crawling☆11Updated 4 years ago
- UMD Course on Computational Journalism☆25Updated 7 years ago
- An analysis of the sentiments of tweets using the Twitter API for my data science class☆13Updated 11 years ago
- ☆32Updated last year
- Code used to compare sentiments of various sermons☆24Updated 12 years ago
- Extracting data from Twitter for #machinelearningflashcards☆42Updated 2 years ago
- Quick tutorial on getting started with GDELT☆41Updated 9 years ago
- Construction and Analysis of an Emotion Proposition Store☆28Updated last year
- Text Thresher crowd sourced text annotator☆16Updated 6 years ago
- Tweets from the third presidential debate in 2016☆18Updated 8 years ago
- Promoting Positive Climate Change Conversations via Twitter☆15Updated 6 years ago
- Speech recognition using Google Cloud Speech API☆25Updated 7 years ago
- R package associated with Benoit, Munger and Spirling (2017) paper(s)☆43Updated 3 years ago
- Tracing policy ideas from think tanks and lobbyists through state legislative bills☆42Updated 8 years ago
- Data and code supporting BuzzFeed News' evaluation of forecasters' predictions for the November 2016 U.S. presidential and Senate electio…☆22Updated 7 years ago
- Complete code for some of the blog posts found at kimberlycoffey.com☆32Updated 6 years ago
- Experiments on english wikipedia. GloVe and word2vec.☆13Updated 8 years ago
- ☆46Updated 7 months ago
- Collaborative web framework for analyzing text (e.g., tweets). Supports standard labeling and pairwise comparison.☆14Updated 3 years ago
- Python program to analyze resume (word document) using a generated set of keywords☆15Updated 8 years ago
- ☆42Updated 5 years ago
- Topic models (just LDA for now) on the Hacker News corpus☆22Updated 9 years ago
- Twitter stream and social network crawling tools☆16Updated 8 years ago
- The data and analysis referenced in the Dec. 7, 2015 BuzzFeed News article, "Here's What We Know About Race And Killings By Police." htt…☆14Updated 8 years ago
- Jupyter notebook + Code for processing Facebook Reactions data and making Interactive Charts☆38Updated 8 years ago
- NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values …☆15Updated 6 years ago
- The repository contains Top-5 Winning solutions of "The Ultimate Student Hunt". Competition Link : https://datahack.analyticsvidhya.com/c…☆14Updated 8 years ago
- Jupyter notebooks for pulling and analyzing data from social media during crises☆13Updated 7 years ago