The DIT AI Research Center (AIRC) Sentiment Analyzer is a web interface demonstrating some of our Sentiment Analysis research. It is available on:
http://airc-sentiment.org/
The Analyzer classifies sentiment of text input using a lexicon-based classifier (discussed in an earlier post here), allowing for some tuning of parameters so you can test different behaviors: users can select which part-of-speech tags to use, lexicon and enable/disable negation detection.
The work is based upon our research presented on:
http://airc-sentiment.org/
The Analyzer classifies sentiment of text input using a lexicon-based classifier (discussed in an earlier post here), allowing for some tuning of parameters so you can test different behaviors: users can select which part-of-speech tags to use, lexicon and enable/disable negation detection.
The work is based upon our research presented on:
Ohana, Bruno, Brendan Tierney, and S. Delany. "Domain Independent Sentiment Classification with Many Lexicons." Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on. IEEE, 2011. (PDF)
Users can select which part-of-speech tags to use.
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