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Author Chen, Jian ♦ Huang, Dong Ping ♦ Hu, Shuyue ♦ Liu, Yu ♦ Cai, Yi ♦ Min, Huaqing
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Sentiment analysis ♦ Cantonese ♦ Opinion mining ♦ Computational Intelligence ♦ Artificial Intelligence (incl. Robotics) ♦ Robotics and Automation ♦ User Interfaces and Human Computer Interaction
Abstract 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 18685137
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-05-28
Publisher Place Berlin, Heidelberg
e-ISSN 18685145
Journal Journal of Ambient Intelligence and Humanized Computing
Volume Number 6
Issue Number 5
Page Count 7
Starting Page 541
Ending Page 547

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Source: SpringerLink