Abstract
Internet has become an excellent source for gathering consumer reviews, while opinion of consumer reviews expressed in sentiment words. However, due to the fuzziness of Chinese word itself, the sentiment judgments of people are more subjective. Studies have shown that the polarities and strengths judgment of sentiment words obey Gaussian distribution. In this paper, we propose a novel method of polarity computation of Chinese sentiment words based on Gaussian distribution which can analyze an analysis of semantic fuzziness of Chinese sentiment words quantitatively. Furthermore, several equations are proposed to calculate the polarities and strengths of sentiment words. Experimental results show that our method is highly effective.
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Li, R., Shi, S., Huang, H., Su, C., Wang, T. (2014). A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54903-8_5
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DOI: https://doi.org/10.1007/978-3-642-54903-8_5
Publisher Name: Springer, Berlin, Heidelberg
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