Sentiment analysis of sentences with modalities

Authors:
Yang Liu;Xiaohui Yu;Zhongshuai Chen;Bing Liu
Affiliations:
Shandong University, Jinan, China;Shandong University & York University, Jinan, China;Shandong University, Jinan, China;University of Illinois at Chicago, Chicago, IL, USA
Venue:
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing
Year:
2013

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Abstract

This paper is concerned with sentiment analysis of sentences with modality. Modality is a commonly occuring linguistic phenomenon. Due to its special characteristics, the sentiment borne by modality may be hard to determine by existing methods. We first present a linguistic analysis of modality, and then identify some valuable features to train a support vector machine classifier to determine the sentiment orientation of such sentences. We show experimental results on sentences with modality that are extracted from the reviews of four different products to illustrate the effectiveness of the proposed method.