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Twitter sentiment Analysis for electronic Goods Recommendation


Neha Jadhav , MITCOE, Pune; Dipti Shilimkar, MITCOE,Pune; Pooja kshirsagar, MITCOE,Pune; Nikhila Lodh, MITCOE,Pune


Tweets, Hadoop, Sentiment Analysis, Twitter, Natural Language Processing


Twitter, Facebook and other social networking sites are the main source of data for analysis of product. Twitter is the most common micro blogging site which fetches the millions of tweets that are generated every minutes and every seconds. These tweets can be useful for sentiment analysis and analyzing users opinion about the particular product. And also enable the product manufacturing companies to gain the feedback about their product to improve the product quality. In this paper we are fetching the tweets about electronic goods e.g. Laptop, Mobiles etc. form the twitter account and by analyzing those tweets we are recommending the best product to the user.

Other Details

Paper ID: IJSRDV4I30203
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 362-363

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