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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Sentiment analysis using logistic regression algorithm

    Yadla Jaswanth Ravilla Muni Sandeep Kumar Ravilla Madhu Sudhan Mr. Vijaya Kumar S Mr. Rajagopalam D

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2081-2086

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Abstract

Sentiment Analysis is a sub-field of Natural Language Processing. This is characterised as a method of recognizing and classifying opinions from a text document and is helpful in determining user’s intention for specific subject is neutral, negative or positive. It is also termed as Opinion Mining. The motive of our proposed work is to detect hate speech in tweets. In our case, we consider a twitter post to be a hateful speech if it has a negative meaning. Hence, our objective is just to categorize negative tweets from overall tweets.
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(2020). Sentiment analysis using logistic regression algorithm. European Journal of Molecular & Clinical Medicine, 7(4), 2081-2086.
Yadla Jaswanth; Ravilla Muni Sandeep Kumar; Ravilla Madhu Sudhan; Mr. Vijaya Kumar S; Mr. Rajagopalam D. "Sentiment analysis using logistic regression algorithm". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2081-2086.
(2020). 'Sentiment analysis using logistic regression algorithm', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2081-2086.
Sentiment analysis using logistic regression algorithm. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2081-2086.
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