• unmesh shailendra kadam
• swati powar
• tanmay salvi

Abstract— Twitter keeps record of all the tweets posted by millions of users all over the globe. This data stores a number of attributes of the tweet as well as the individual registered user. This data is stored together in Twitter Datacentre. This data is mined for detecting frequent patterns as well as anomalies and is currently used to rate a particular product or movie. This data can also be used for classifying any particular tweet as Hate tweet and Normal tweet using various Machine Learning techniques. From the literature survey, it has been found that Logistic Regression provides less accuracy in solving the classification problems. Hence, we can use Naive Bayes method for accuracy improvement.

Classifying Tweets, Logistic Regression, Naive Bayes, Machine Learning.

" Twitter Sentiment Analysis for Classifying Hate Tweets and Normal Tweets Using Logistic Regression and Naive Bayes Algorithm. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.371-373, October-2018, Available :http://www.jetir.org/papers/JETIR1810752.pdf

" Twitter Sentiment Analysis for Classifying Hate Tweets and Normal Tweets Using Logistic Regression and Naive Bayes Algorithm. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp371-373, October-2018, Available at : http://www.jetir.org/papers/JETIR1810752.pdf