Abstract
In recent years, more and more people begin to publish information on online social platforms like Sina Weibo. Via the facilities like posting tweets, retweeting tweets and making comments provided by Weibo service, users can easily express their feelings, giving opinions and make interactions with their friends in real time. Sentiment analysis of Weibo messages is important for the analysis of human sentiment. The characteristics of Chinese microblogs bring difficulty in sentiment classification. In this paper, an effective Chinese microblogs sentiment classification model based on Naive Bayes is proposed. Two strategies to do the three sentiment polarities classification are compared and the two-step strategy performs better than the one-step strategy.
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Wang, X., Zhang, C., Wu, M. (2015). Sentiment Classification Analysis of Chinese Microblog Network. In: Mangioni, G., Simini, F., Uzzo, S., Wang, D. (eds) Complex Networks VI. Studies in Computational Intelligence, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-16112-9_12
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DOI: https://doi.org/10.1007/978-3-319-16112-9_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16111-2
Online ISBN: 978-3-319-16112-9
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