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A Review on Sentiment Analysis using Twitter during Crisis


Anuradha Pawar , PDM College of Engineering; Sugandha Singh, PDM College of Engineering


Twitter, Sentiment Analysis, Weka, Naïve Bayes Classifier


This paper focuses on the popular micro-blogging platform such as Twitter through which individuals share information about any topic across the world. They also share crisis-related information during the mass emergency through Twitter. These tweets are used for sentiment analysis. We will discuss an approach in which tweets are fetched from Twitter’s streaming API. The tweets are manually tagged according to respective sentiments i.e positive, negative or neutral. Use of available preprocessing technique in Weka proved better results. After preprocessing Naïve Bayes classifier is applied.

Other Details

Paper ID: IJSRDV6I30745
Published in: Volume : 6, Issue : 3
Publication Date: 01/06/2018
Page(s): 2347-2350

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