Using Appraisal Taxonomies for Sentiment Analysis
- Casey Whitelaw ,
- Navendu Garg ,
- Shlomo Argamon
Proceedings of MCLC-05, the 2nd Midwest Computational Linguistic Colloquium |
Recent years have seen a growing interest in non-topical text analysis, in which characterizations are sought of the opinions, feelings, and attitudes expressed in a text, rather than just the facts. A key problem in this area is sentiment classification, in which a document is labelled as a positive (thumbs up) or negative (thumbs down) evaluation of a target object (film, book, product, etc.). Immediate applications include data and web mining, market research, and customer relationship management.