P.S we built our sentiment analyis engine into a neat little REST API It's super easy to use :)
Ever wonder what the internet thinks about a certain topic, issue, or person? Well, what better way to gauge the internet's popular opinion than by mass analyzing things said about that topic? Just enter a search query and a sentiment analysis of tons of data in relation to that topic will be returned to you. Find out where you stand amongst the internet! Internet-thoughts was built for YHack 2016 at Yale University by Tash-had Saqif, Robert Xu and Jonathan Sun.
- We built our own engine to analyze sentiment in the data we fetched
- Data is analyzed using a corpus
- Engine accounts for slang, emoji's, compound words
- Fetched the most popular tweets, reddit comments and Tumblr posts matching the query, from the last 7 days.
- Parsed the data from the respective platforms for use with sentiment analysis engine
- Platforms chosen specifically to ensure diverse demographic (age groups)
- NodeJs
- JavaScript
- jQuery
- Embedded JavaScript (EJS)
- PaperScript
- Apiheap.js
- HTMl, CSS
- Heroku
- Save data to database for analysis of change over time
- Frequent words Wordmap
- Context
- Count exclamation marks
- Count consecutively repeated letters
- Compare with long term data from database
- Use data from movie reviews, other sources
- Use data from surely positive/surely negative sources (positive news, etc)
- Use letter cases before converting to lowercase
- Markov chains to predict search queries
- Stability
- Implement Travic CI
- Implement SSL
Internet-thoughts is licensed under MIT