31May 2016
A REVIEW ON SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA USING TEXT MINING AND MACHINE LEARNING.
- M.Tech. Student (Computer Engg.), Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India.
- Assistant Professor (Computer Engg.), Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India.
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This paper proposes to utilize this source of information and predict the sentiments of public towards a particular topic. Twitter data is utilized for the same and live tweets of Indian origin are extracted using twitter API called ‘tweepy’ Twitter API was used for streaming of tweets. Entire data can be obtained through access token and secret key. The score for every tweet was evaluated by using one of the score based approach. Moreover, KNN algorithm will be applied on the tweets.
[GURPREET KAUR and MANOJ KUMAR. (2016); A REVIEW ON SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA USING TEXT MINING AND MACHINE LEARNING. Int. J. of Adv. Res. 4 (May). 772-775] (ISSN 2320-5407). www.journalijar.com
GURPREET KAUR
