NDLI: Featured based sentiment classification for hotel reviews using NLP and Bayesian classification

Content Provider	IEEE Xplore Digital Library
Author	Ghorpade, T. Ragha, L.
Copyright Year	2012
Description	Author affiliation: Department of Computer Engineering, Ramrao Adik Institute of Technology, Mumbai University, India (Ghorpade, T.; Ragha, L.)
Abstract	The internet revolution has brought about a new way of expressing an individual's opinion. It has become a medium through which people openly express their views on various subjects. These opinions contain useful information which can be utilized in many sectors which require constant customer feedback. Analysis of the opinion and it's classification into different sentiment classes is gradually emerging as a key factor in decision making. There has been extensive research on automatic text analysis for sentiments such as sentiment classifiers, affect analysis, automatic survey analysis, opinion extraction, or recommender systems. These methods typically try to extract the overall sentiment revealed in a sentence or document, either positive or negative, or somewhere in between. However, a drawback of these methods is that the information can be degraded, especially in texts where a loss of information can also occur. The proposed method attempts to overcome the problem of the loss of text information by using well trained training sets. Also, recommendation of a product or request for a product as per the user's requirements have achieved with the proposed method.
Starting Page	1
Ending Page	5
File Size	547506
Page Count	5
File Format	PDF
ISBN	9781457720772
e-ISBN	9781457720789
DOI	10.1109/ICCICT.2012.6398136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Computers Sentiment analysis Bayesian methods Ontology Semantics Naive bayes classification Machine learning Ontologies Online traveller reviews Natural language processing Classification algorithms
Content Type	Text
Resource Type	Article

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