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Authors
Affiliations
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science
and Engineering, Vickram College of Engineering, Madurai, TamilNadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 5 (2015), Pagination: 133-138
Abstract
Sentiment Analysis deals with the analysis of emotions, opinions and facts in the sentences which are expressed by the people. It allows us to track attitudes and feelings of the people by analyzing blogs, comments, reviews and tweets about all the aspects. In this paper, a sentiment analysis model using VIKOR approach has been proposed to rank the tourism places from the user reviews. The model involves the process of gathering online user reviews regarding the TamilNadu tourism and analyzes those reviews in terms of the sentiments expressed. Information Extraction process filters irrelevant reviews, extracts sentimental words of features identified and quantifies the sentiment of features using General Inquirer. Finally, VIKOR approach, a multi-criteria decision making (MCDM) method ranks the tourism places from the aggregated senti-scores. The sentiment analysis on tweets/reviews is done with multiple dimensions using Natural Language Processing techniques. This information can be used to improve business outcomes and ensure a very high level of user satisfaction.
Keywords
Sentiment Analysis, Opinion Mining, VIKOR, MCDM Technique.
