Learn more about our current applications:

AppScience Analytics

Click here to check out our internally-developed Sentiment Analysis statistical model used behind ChatterStock, TweetVote, and Moodisphere.

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ChatterStock gathers tweets in real-time to provide a “perception” score for stocks in the S&P 500. In short, ChatterStock aggregates thousands of tweets from individuals and news agencies to measure the “buzz” for stocks in your portfolio.

Note: This app does not provide current or historical stock values, but rather a score indicating the current perception of stocks within the S&P 500.


✓ Create a custom stock portfolio
✓ View a daily trend of each stock’s perception score!
✓ Drill into actual tweets to see what people are saying!
✓ “Nerd View”, showing raw statistical values behind the calculations (just click on the trended image)!
✓ Tweet directly from the app!

How does it work?

Your friends at AppScience, LLC have created a proprietary statistical model that analyzes “tweets” using Natural Language Processing (i.e. “Sentiment Analysis”) based on positive or negative language used in reference to the selected stocks. We then do some statistical kung-fu to ensure a valid comparison against other stocks (hi-ya!). The end result is a perception score ranging from 0 to 100, with 0 indicating the worst perception and 100 representing the best perception.


Download ChatterStock from the AppStore!