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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Abstract
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.
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How to Cite This Article
GURPREET KAUR and MANOJ KUMAR. (2016); A REVIEW ON SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA USING TEXT MINING AND MACHINE LEARNING., International Journal of Advanced Research (IJAR), 4 (05), 772-775, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/526
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