@inproceedings{799b43640e6d4f57a74026feee7539a6,
title = "A method of polarity computation of chinese sentiment words based on gaussian distribution",
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.",
keywords = "Gaussian distribution, Semantic fuzziness, polarity calculation, sentiment words",
author = "Ruijing Li and Shumin Shi and Heyan Huang and Chao Su and Tianhang Wang",
year = "2014",
doi = "10.1007/978-3-642-54903-8\_5",
language = "English",
isbn = "9783642549021",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "53--61",
booktitle = "Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings",
address = "Germany",
edition = "PART 2",
note = "15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014 ; Conference date: 06-04-2014 Through 12-04-2014",
}