Incorporating topic information into sentiment analysis models

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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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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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