Global/Specific Mood Analyst
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A global mood ring called Twitter
In a follow-up to their mood maps , Scott Golder and Michael Macy of Cornell University look at mood cycles during the hours of the day : They found that, on average, people wake up in a good mood, which falls away over the course of the day. Positive feelings peak early in the morning and again nearer midnight, while negative feelings peak between 9pm and 3am. Unsurprisingly, people get happier as the week goes on.
Twitter predicts the future?
A recent study [pdf] by Sitaram Asur and Bernardo A. Huberman at HP Labs found that it's possible to use Twitter chatter to predict first-weekend box office revenues simply based on volume of tweets. The predictions were even more accurate when they introduced sentiment analysis (i.e. classified tweets as positive or negative). The above chart shows predicted revenue on the first weekend versus actual. The blue line is the tweet predictor, and the green line is predictions from Hollywood Stock Exchange , a site where people can put down fake money in predicting box office revenues.
Hollywood Stock Exchange Is Becoming A Real Money Exchange In April. Seriously. | TechCrunch
I’m a bit of a movie fanatic. As such, back in the day one of my favorite websites was Hollywood Stock Exchange (HSX). On it, you bought and sold both movies (moviestocks) and movie stars (starbonds) based on how you thought they would do with upcoming releases. Of course, all of this was done with virtual cash (H bucks), making it a fun game.
What is LIWC? Linguistic Inquiry and Word Count (LIWC) is a text analysis software program designed by James W. Pennebaker, Roger J. Booth, and Martha E. Francis. LIWC calculates the degree to which people use different categories of words across a wide array of texts, including emails, speeches, poems, or transcribed daily speech.
LIWC: Linguistic Inquiry and Word Count
Natural Language Toolkit
Open source Python modules, linguistic data and documentation for research and development in natural language processing and text analytics, with distributions for Windows, Mac OSX and Linux. News - NLTK development has moved to GitHub [October 2011], Version 2.0.1rc1 released [April 2011], NLTK Cookbook by Jacob Perkins [December 2010], NLTK book in third printing [November 2010], Japanese translation of NLTK book published [November 2010] Courses - ~100 courses in 23 countries using NLTK (artificial intelligence, computational linguistics, information retrieval, machine learning) Donate!