An opinion mining framework for Cantonese reviews

Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utiliz...

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Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2015-10, Vol.6 (5), p.541-547
Main Authors: Chen, Jian, Huang, Dong Ping, Hu, Shuyue, Liu, Yu, Cai, Yi, Min, Huaqing
Format: Article
Language:English
Subjects:
Artificial Intelligence
Chinese languages
Computational Intelligence
Data mining
Dictionaries
Emotions
Engineering
Methods
Original Research
Product reviews
Robotics and Automation
Semantics
Sentiment analysis
Traditions
User Interfaces and Human Computer Interaction
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Summary:Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utilizing the Mandarin lexical database, it’s necessary to construct a particular lexical database for Cantonese. Besides, we explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that our framework significantly outperform the traditional Mandarin sentiment analysis method using ICTCLAS.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-014-0237-8