Abstract
With the growing use of the internet and social media like Twitter, Instagram, WhatsApp, and Snapchat a lot of interaction and data exchange happens. There is rapid growth in the number of users, these users express their thoughts and views which might be personal, and political and people tend to have discussions with different communities. There has been continuous work done in the field of sentimental analysis of Twitter data. This data helps in analyzing the sensitivity factor and in predicting the nature of the user trying to tweet a particular piece of information, thereby avoiding many conflicts and preventing one from posting a controversial piece of information. In this paper, we will discuss the above problem statement.
Keywords
Twitter sentimental analysis, tweets, Natural Language Processing (NLP), Libraries, Naive Bayes algorithm, Support vector machine, Logistic Regression.
Citations
IRE Journals:
Mervyn George , Kavyashree Balaraman , Vinay M , Sapna R
"Twitter Sentimental Analysis" Iconic Research And Engineering Journals Volume 6 Issue 11 2023 Page 529-535
IEEE:
Mervyn George , Kavyashree Balaraman , Vinay M , Sapna R
"Twitter Sentimental Analysis" Iconic Research And Engineering Journals, 6(11)
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