A Review of Sentiment Analysis Research in Chinese Language

被引:145
作者
Peng, Haiyun [1 ]
Cambria, Erik [1 ]
Hussain, Amir [2 ]
机构
[1] Nanyang Technol Univ, Sch Comp Sci & Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[2] Univ Stirling, Dept Comp Sci & Math, Stirling FK9 4LA, Scotland
基金
美国国家科学基金会; 英国工程与自然科学研究理事会;
关键词
Sentiment analysis; Chinese sentiment analysis; CLASSIFICATION;
D O I
10.1007/s12559-017-9470-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Research on sentiment analysis in English language has undergone major developments in recent years. Chinese sentiment analysis research, however, has not evolved significantly despite the exponential growth of Chinese e-business and e-markets. This review paper aims to study past, present, and future of Chinese sentiment analysis from both monolingual and multilingual perspectives. The constructions of sentiment corpora and lexica are first introduced and summarized. Following, a survey of monolingual sentiment classification in Chinese via three different classification frameworks is conducted. Finally, sentiment classification based on the multilingual approach is introduced. After an overview of the literature, we propose that a more human-like (cognitive) representation of Chinese concepts and their inter-connections could overcome the scarceness of available resources and, hence, improve the state of the art. With the increasing expansion of Chinese language on the Web, sentiment analysis in Chinese is becoming an increasingly important research field. Concept-level sentiment analysis, in particular, is an exciting yet challenging direction for such research field which holds great promise for the future.
引用
收藏
页码:423 / 435
页数:13
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