TweetSentiments.com provides Sentiment Analysis on tweets using Natural Language Processing and Machine Learning technologies. How it works:
Sentiment and Profile Analysis
The sentiment and profile results are calculated using and LIBSVM/LIBLINEAR(Support Vector Machines) machine learning tools and OpenAmplify's Natural Language Processing(NLP) application. The profile is estimated based on the recent tweet content and writing style, the Education level could be interpreted as person with that level of education is capable of writing the tweets, and does not necessarily reflect reality. We continuously improve to our algorithms and the results will get better over time as we process more and more data.
User and Brand Monitoring
Under the Analyze tab, you can analyze and track sentiments of tweets by user or by topic. User sentiments tracking allows you to monitor friends and family's sentiments and receive alerts when user specified criterias are met. Topic sentiments tracking allows you to monitor events or what people are talking about your company and products.
Maps
Under the Maps tab, you will find maps that show the geographic distributions of tweets and sentiments, the thematic map layer shows each country using its sentiment color.
Advanced Visualization
The thematic layers are also available on Google Earth, allowing you to visualize sentiments in 3D.
Charts
The charts show the hourly and daily sentiment trends. The charts are normally flat but will fluctuate when major events happen.
Internationalization
The internationalization/localization is done automatically using Google Translate, as expected, there are a lot of out-of-context translations, those can be and will be manually corrected in the future. All Google Translate supported languages are enabled here.
Technologies
The site is built with Ruby
on Rails (web application framework), Twitter
API, OpenAmplify, LIBSVM/LIBLINEAR, GIS, and visualization technologies. A lot more features to come.
Please contact us using Feedback(tab on the left), or at info [at] intridea.com for comments, suggestions, bug reports, and feature requests. And follow us on Twitter @tweetsentiments for hourly Sentiment Index(published every 6 hours) and daily Top Tweeting Country list and sentiments updates.
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(c) 2009-2010 Intridea, Inc.
http://www.intridea.com