Title :
Automatic Sentiment Analysis for Web User Reviews
Author :
Sun Yueheng ; Wang Linmei ; Deng Zheng
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Abstract :
The web contains a wealth of user reviews about a topic concerning positive, negative or mixed mood, but it is a daunting task to discriminate them manually. This paper presents an approach for automatic sentiment analysis by 1) generating positive and negative sentiment words from Tongyici Cilin with paradigm words, 2) determining the sentiment orientation of ambiguous words according to their contexts, 3) setting up proper weight factors to different part-of-speeches, and 4) expanding the initial sentiment words by an iterative process. The performance of our approach is verified on web user reviews and achieves an average precision of 83.52%.
Keywords :
Internet; iterative methods; natural language processing; thesauri; word processing; Chinese synonym thesaurus; Tongyici Cilin; Web user reviews; ambiguous words sentiment orientation; automatic sentiment analysis; iterative process; paradigm sentiment words; part-of-speech weight factor; Computer science; Electronic mail; Information analysis; Information science; Iterative methods; Mood; Statistical analysis; Sun; Text analysis; Thesauri;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.356
