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.
Cite
CITATION STYLE
Mullen, T., & Collier, N. (2004). Incorporating topic information into sentiment analysis models. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2004-July). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1219044.1219069
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