Saturday, April 6, 2013

Online Tools for Sentiment Classification - Part II: The AIRC Sentiment Analyzer

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:
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)

1 comment:

  1. Users can select which part-of-speech tags to use.

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