Paper: Generating Focused Topic-Specific Sentiment Lexicons

ACL ID P10-1060
Title Generating Focused Topic-Specific Sentiment Lexicons
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

We present a method for automatically generating focused and accurate topic- specific subjectivity lexicons from a gen- eral purpose polarity lexicon that allow users to pin-point subjective on-topic in- formation in a set of relevant documents. We motivate the need for such lexicons in the field of media analysis, describe a bootstrapping method for generating a topic-specific lexicon from a general pur- pose polarity lexicon, and evaluate the quality of the generated lexicons both manually and using a TREC Blog track test set for opinionated blog post retrieval. Although the generated lexicons can be an orderofmagnitudemoreselectivethanthe general purpose lexicon, they maintain, or even improve, the performance of an opin- ion retrieval system.