Sentiment Analysis for Cantonese Opinion Mining

Author

Jian Chen ; Yu Liu ; Guangyi Zhang ; Yi Cai ; Tao Wang ; Huaqing Min

Author_Institution

Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China

fYear

2013

fDate

9-11 Sept. 2013

Firstpage

496

Lastpage

500

Abstract

With the dramatic growth of E-commerce´s popularity, the amount of products and services reviews are increasing rapidly. Many researchers put effects on mining user opinions from reviews. There are many research works in opinion mining. However, all current methods are focusing on how to handling the opinion mining for English language, Chinese, Japanese and so on. There lacks works on how to conduct Cantonese Opinion Mining. To solve the problem, in the paper, we propose a method to handle sentiment analysis for Cantonese opinion mining.

Keywords

data mining; electronic commerce; information retrieval; natural language processing; text analysis; Cantonese opinion mining; Chinese language; English language; Japanese language; e-commerce; opinion mining handling; product reviews; sentiment analysis; service reviews; user opinion mining; Buildings; Data mining; Dictionaries; Educational institutions; Hidden Markov models; Semantics; Software engineering; Cantonese; Opinion Mining; Sentiment Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4799-2140-9

Type

conf

DOI

10.1109/EIDWT.2013.89

Filename

6631667