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@article{182194,
        author = {Deepak Kumar},
        title = {TWITTER SENTIMENT ANALYSIS ARTICLE 370},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {2251-2266},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182194},
        abstract = {The Narendra Modi government has finally released its documents and legislation following many days and weeks of intensive inquiry into the events and circumstances in Jammu and Kashmir. In Parliament, our esteemed Home Minister Mr. Amit Shah declared that Article 370 must be adhered to for the remainder of the day.
Many useful actions have been carried out, particularly on Twitter, where individuals exchange ideas and perspectives. I will therefore go into further detail in the thesis on how we may examine what individuals are tweeting on the specific subject. We can disseminate the report about the advantages and disadvantages of people's perspectives via Twitter. This method helps us determine whether the choice was excellent or bad.
Python is a strong, dynamic, high-level, and easy-to-learn programming language that is excellent for data processing in everyday English. Python is considered to be a strong, dynamic, high-level, and easy-to-learn programming language that is excellent for data processing in everyday English.
The thesis classifies Twitter data into positive or negative remarks using different machine learning classifiers in a supervised manner on data collection for various political parties with the aim of identifying which Indian political party is doing the best for the general people.},
        keywords = {},
        month = {July},
        }