owentemple / TED-talksLinks
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.
☆20Updated 7 years ago
Alternatives and similar repositories for TED-talks
Users that are interested in TED-talks are comparing it to the libraries listed below
Sorting:
- I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.☆23Updated 7 years ago
- ☆34Updated last year
- Code used to compare sentiments of various sermons☆24Updated 13 years ago
- Python tools for the analysis of Twitter data☆72Updated 7 years ago
- Build intelligent data-driven applications with minimal effort. Sentence Clustering, Topics Extraction, Text Similarity, Opinion Summariz…☆40Updated 5 years ago
- Data and code supporting BuzzFeed News' evaluation of forecasters' predictions for the November 2016 U.S. presidential and Senate electio…☆22Updated 8 years ago
- Using the function read.table() to break file into chunks to loop and process them. This allows processing files of any size beyond what …☆10Updated 10 years ago
- Tutorials for web scraping and crawling☆11Updated 5 years ago
- ☆14Updated 7 years ago
- An ultra-simple example of how to use Python to write stories based on a set of data.☆29Updated 11 years ago
- Repository containing script on how I processed and charted Yelp data.☆29Updated 10 years ago
- NYU ITP data storytelling☆85Updated 11 years ago
- Introduction to Topic Modeling for TextXD 2019, 12/3/2019☆10Updated 5 years ago
- Extracting data from Twitter for #machinelearningflashcards☆45Updated 3 years ago
- An analysis of the sentiments of tweets using the Twitter API for my data science class☆13Updated 12 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- An experiment of using the LDA machine learning algorithm to generate topics from documents and tag them with those topics☆17Updated 8 years ago
- Quick tutorial on getting started with GDELT☆44Updated 9 years ago
- ☆46Updated last month
- Tracing policy ideas from think tanks and lobbyists through state legislative bills☆47Updated 8 years ago
- Tools for analyzing the Hillary Clinton emails☆13Updated 9 years ago
- ☆12Updated 9 years ago
- Linear Regression estimation of the parameters to turn a product-bundle-ranking into measurable partsworths and relative importance☆18Updated 3 years ago
- Social Media Analysis for Situation Awareness during Crises (SMASAC) Tutorial☆25Updated 7 years ago
- Classifying documents into categories☆18Updated 7 years ago
- Experiments on english wikipedia. GloVe and word2vec.☆13Updated 9 years ago
- Document clustering in Python☆30Updated 9 years ago
- All files save in this repository consist of R, python and sql scripts to solve for marketing problems centered around 4P's i.e. product,…☆11Updated 10 years ago
- ☆16Updated 3 years ago
- Webscraping and analyzing book reviews on GoodReads☆42Updated 5 years ago