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Paper Details
Paper Title
Sentiment Analysis of College Reviews
Authors
Omkar Borade, Kaushik Gosavi, Avinash Gowda, Ajay Shinde
Abstract
The use of reviews has created many opportunities for people to publicly voice their opinions. Reviews in the internet could be in millions for services which make it difficult to track and understand customer opinions. Sentiment analysis is an emerging area of research to extract the subjective information to track and understand customer opinions. The reviews provide accessible and plentiful data for relatively easy analysis for a range of applications. This system seeks to apply and extend the current work in the field sentiment analysis on college reviews data retrieved from another websites using web mining technique. Naive Bayes and decision list classifiers are used to tag a given review as positive or negative. The features, such as bag-of- words and bigrams, are compared to one another in their effectiveness in correctly tagging reviews. Recent studies analyzed this reviews and found that it includes information useful for college, such as user requirements, ideas for improvements, user sentiments about specific features, and descriptions of experiences with these features.
Keywords- Review, Sentiment Analysis, Naïve Bayes.
Publication Details
Unique Identification Number - IJEDR1702054Page Number(s) - 319-322Pubished in - Volume 5 | Issue 2 | April 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Omkar Borade, Kaushik Gosavi, Avinash Gowda, Ajay Shinde, "Sentiment Analysis of College Reviews", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.319-322, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702054.pdf
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