Title :
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
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;
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
DOI :
10.1109/EIDWT.2013.89
