Inproceedings,

Incorporating topic information into sentiment analysis models

, and .
Proceedings of the ACL 2004 on Interactive poster and demonstration sessions, page 25. Morristown, NJ, USA, Association for Computational Linguistics, (2004)
DOI: http://dx.doi.org/10.3115/1219044.1219069

Abstract

This paper reports experiments in classifying texts based upon their favorability towards the subject of the text using a feature set enriched with topic information on a small dataset of music reviews hand-annotated for topic. The results of these experiments suggest ways in which incorporating topic information into such models may yield improvement over models which do not use topic information.

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