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@article{164637,
        author = {Ayush Neelkant and Adarsh Anilkumar and Ankit Sarmah and Aryan Rawat},
        title = {Sentimental and Behavioural Analysis on Twitter},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2089-2097},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164637},
        abstract = {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.},
        keywords = {},
        month = {},
        }