Sentimental and Behavioural Analysis on Twitter
Ayush Neelkant, Adarsh Anilkumar, Ankit Sarmah, Aryan Rawat
Sentiment analysis on social media platforms has grown in significance as a tool for tracking brand perception and understanding public sentiment. This research article offers a thorough investigation of the use of cutting-edge BERT-based models for sentiment analysis on Twitter data. The effective handling of data is made possible by the storage of the analytical findings in a MongoDB database. We go over the complete process, including sentiment analysis, data pretreatment, and MongoDB integration. We also offer some useful applications for this methodology.
Article Details
Unique Paper ID: 164637

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 2089 - 2097
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