DocumentCode
3024231
Title
Sentiment Analysis for Vietnamese
Author
Kieu, Binh Thanh ; Pham, Son Bao
Author_Institution
Fac. of Inf. Technol., Univ. of Eng. & Technol., Hanoi, Vietnam
fYear
2010
fDate
7-9 Oct. 2010
Firstpage
152
Lastpage
157
Abstract
Sentiment analysis is one of the most important tasks in Natural Language Processing. Research in sentiment analysis for Vietnamese is relatively new and most of current work only focus in document level. In this paper, we address this problem at the sentence level and build a rule-based system using the Gate framework. Experimental results on a corpus of computer products reviews are very promising. To the best of our knowledge, this is the first work that analyzes sentiment at sentence level in Vietnamese.
Keywords
knowledge based systems; natural language processing; text analysis; Vietnamese; natural language processing; rule-based system; sentiment analysis; Data mining; Dictionaries; Logic gates; Natural language processing; Portable computers; Training data; Opinion Mining; Sentiment Analysis; Text Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge and Systems Engineering (KSE), 2010 Second International Conference on
Conference_Location
Hanoi
Print_ISBN
978-1-4244-8334-1
Type
conf
DOI
10.1109/KSE.2010.33
Filename
5632131
Link To Document