A multi-granularity fuzzy computing model for sentiment classification of Chinese reviews
A multi-granularity fuzzy computing model for sentiment classification of Chinese reviews
复制标题
中文评论情感分类的多粒度模糊计算模型
DOI：
10.3233/ifs-151853
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发表时间：
2016
影响因子：
2
通讯作者：
Bingkun Wang
中科院分区：
文献类型：
--
作者：
Bingkun Wang
随着在线用户生成内容的快速增长，无需使用标记的培训数据的无监督方法在情感分类中变得越来越重要。但是，无监督方法的性能并不令人满意。蒂
With the rapid growth of user-generated contents online, unsupervised methods which do not need to use labeled training data have become increasingly important in sentiment classification. But the performance of unsupervised methods is unsatisfactory. This is because sentence structure and ambiguity of sentiment intensity are usually ignored in existing unsupervised methods. To address these problems, we propose a multi-granularity fuzzy computing model which involves two innovations. Firstly, we come up with a multi-granularity computing method to compute sentiment intensity of reviews. To be specific, we deconstruct those reviews into three levels of language units—words, phrases and sentences, and consequently manage to compute the sentiment intensity of reviews by combining rule-based methods and statistic-based methods. Secondly, a fuzzy classifier is constructed to solve the ambiguity of sentiment intensity. Furthermore, two different selfsupervised methods using pseudo-labeled training data are proposed to learn the optimum parameters of the fuzzy classifier. Experimental results in four different datasets prove that our model improves 6.25% more accuracy on average than the competitive baselines in sentiment classification of Chinese reviews.
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DOI：
10.3115/1220355.1220500
发表时间：
2004-08
期刊：
--
影响因子：
--
作者：
R. Yuen;Terence Y. W. Chan;Tom B. Y. Lai;O. Kwong;Benjamin Ka-Yin T'sou
通讯作者：
R. Yuen;Terence Y. W. Chan;Tom B. Y. Lai;O. Kwong;Benjamin Ka-Yin T'sou
影响因子：
2.5
作者：
Alena Neviarouskaya;H. Prendinger;M. Ishizuka
通讯作者：
Alena Neviarouskaya;H. Prendinger;M. Ishizuka
DOI：
10.1631/jzus.c1100373
发表时间：
2012-09
期刊：
Journal of Zhejiang University SCIENCE C
影响因子：
--
作者：
Bing-kun Wang;Yongfeng Huang;Wanxia Yang;Xing Li
通讯作者：
Bing-kun Wang;Yongfeng Huang;Wanxia Yang;Xing Li
DOI：
--
发表时间：
2010-08
期刊：
--
影响因子：
--
作者：
G. Fu;Xin Wang
通讯作者：
G. Fu;Xin Wang
影响因子：
6
作者：
Huang, Guang-Bin;Zhu, Qin-Yu;Siew, Chee-Kheong
通讯作者：
Siew, Chee-Kheong