NDLI: A word sense disambiguation method for feature level sentiment analysis

Content Provider	IEEE Xplore Digital Library
Author	Farooq, Umar Dhamala, Tej Prasad Nongaillard, Antoine Ouzrout, Yacine Qadir, Muhammad Abdul
Copyright Year	2015
Description	Author affiliation: Mohammad Ali Jinnah University, Islamabad, Pakistan (Qadir, Muhammad Abdul) \|\| CRIStAL Laboratory, CNRS UMR 9189, Lille University, Lille, France (Nongaillard, Antoine) \|\| DISP Laboratory, University Lumiere Lyon 2, Lyon, France (Farooq, Umar; Dhamala, Tej Prasad; Ouzrout, Yacine)
Abstract	Sentiment analysis is an automatic method used to determine that the opinion of a person about a subject is positive or negative. One of the most important tasks in sentiment analysis is to disambiguate the sense of words according to context. Most errors in sentiment analysis are because of improper sense disambiguation. Few methods for this purpose have been proposed in literature. However, they are not able to properly determine the context of word in a sentence. In addition, the lexicon dictionaries used by these methods lack word senses and also do not provide a context matching technique. These issues need to be addressed in order to improve the performance of sentiment analysis so that it can be used by customers and manufacturers for decision making. In this paper, we propose a feature level sentiment analysis system, which produces a summary of opinions about product features. A word sense disambiguation method is introduced which accurately determines the sense of a word within a context while determining the polarity. In addition, a heuristic based method is proposed in order to determine the text where opinion about a product feature is expressed. The results show that the proposed methods achieve better accuracy than existing methods.
Starting Page	1
Ending Page	8
File Size	125630
Page Count	8
File Format	PDF
e-ISBN	9781467367448
DOI	10.1109/SKIMA.2015.7399988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-15
Publisher Place	Nepal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Sentiment analysis Dictionaries Speech Mobile communication Word Sense Disambiguation Software Information management Sentiment Analysis Contextual Polarity
Content Type	Text
Resource Type	Article

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