NDLI: Sentix: An Aspect and Domain Sensitive Sentiment Lexicon

Content Provider	IEEE Xplore Digital Library
Author	Hsiang Hui Lek Poo, D.C.C.
Copyright Year	2012
Description	Author affiliation: Dept. of Inf. Syst., Nat. Univ. of Singapore, Singapore, Singapore (Hsiang Hui Lek; Poo, D.C.C.)
Abstract	Sentiment lexicons have often been used to aid sentiment analysis. Most of these sentiment lexicons are general-purpose lexicons which assign a fixed polarity to every word. However, it has been noted that the polarity of words depends on both the aspect and domain, thus a general-purpose sentiment lexicon would not be able to accurately classify the sentiment of words. This paper proposes a method to automatically construct an aspect and domain sensitive sentiment lexicon which assigns polarity to a word depending on its aspect and domain, and make available Sentix which is an aspect and domain sensitive sentiment lexicon spanning over 200 product domains. Experimental results have shown that our lexicon produces significantly better results compared to other commonly used lexicons. We also observe the long tail distribution behavior of product aspects, and propose the possibility of aspect ranking by comparing the number of domains and number of sentiment words present for an aspect.
Starting Page	261
Ending Page	268
File Size	304472
Page Count	8
File Format	PDF
ISBN	9781479902279
ISSN	10823409
DOI	10.1109/ICTAI.2012.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-07
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Cameras Sentiment analysis Mobile handsets Feature extraction Digital audio players Filtering Aspect Ranking Sentiment Analysis Opinion Mining Sentiment Lexicon Lexicon Induction
Content Type	Text
Resource Type	Article

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