Sentiment Analysis : A key factor in Social Media

Authors(2) :-Dipesh Pratap Singh Tilara, Chandan Kumar

Reviews play a crucial role in determining the growth of the product. At present, analyzing peopleís review from social networking site is in trend as people now-a-days are interested more in knowing other personís opinion about any particular object or issue. It deals with finding the opinion, identifying them and classifying opinion and the sentiment behind them from text. It is a field in which people are finding more interest, but at the same time it is very complex to analyze the sentiments as people can have different opinion about an entity at different situations. Facebook, Yahoo, Twitter are such social sites, which provide large number of reviews on a particular object. These reviews play an important role in the marketing of a particular product. These reviews can change the market either in the favor of the product or downgrade the rating of that product. Reviews are the base of creating positive, negative or neutral wave in the market about any particular product, which in a way making it easy for both consumers and sellers of the product to understand each otherís need. In this paper, we are focusing on sentiment analysis of data in the form of tweets on different issues collected from Twitter.

Authors and Affiliations

Dipesh Pratap Singh Tilara
Bansal Institute of Engineering & Technology, Lucknow, India
Chandan Kumar
Bansal Institute of Engineering & Technology, Lucknow, India

Twitter, Entity, Sentiment Analysis, NaÔve Bayes, Maximum Entropy, Random Forest.

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Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 211-214
Manuscript Number : IJSRSET173378
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Dipesh Pratap Singh Tilara, Chandan Kumar, " Sentiment Analysis : A key factor in Social Media, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.211-214, May-June-2017.
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