• Shweta Baviskar

Nowadays, review sites are more and more confronted with the spread of misinformation, i.e. opinion spam, which aims at promoting or damaging some target businesses, by misleading either human readers, or automated opinion mining and sentiment analysis systems. The analysis shows that the proposed method gives better clustering results and provides a novel use-case of grouping user communities based on their activities. Our approach is optimized and scalable for real-time clustering of social media data. a modified model for Naïve Bayes classifier for multinomial text classification has been proposed by modifying the conventional bag of words model .In order to understand the behavior and structure of a social network we need to study the network and this study is called social network analysis. There are various social networking sites available on internet like Linked Facebook, Instagram, Twitter, Google and many more. Interactions over such sites produces huge amount of data because billions of active users maintain their accounts .In this paper, we are concentrating on Twitter data. R language is used for acquisition, preprocessing, analyzing and visualization of the twitter data. Twitter data is extracted, preprocessed and then clustered based on the information. Keywords: Twitter Comment, Mining, K-mean, Text Mining.

"Analysis of comments on twitter social networking sites using text-classification & k-means clustering through data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.374-376, February-2020, Available :http://www.jetir.org/papers/JETIR2002059.pdf

"Analysis of comments on twitter social networking sites using text-classification & k-means clustering through data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp374-376, February-2020, Available at : http://www.jetir.org/papers/JETIR2002059.pdf