People, these days, express their opinions regarding any particular topic or issue widely on social media. One such popular social media platform among masses is twitter with over 320 million monthly users. Users also express their thoughts on any political announcements or decisions taken by a particular party. Analyzing these tweets on a specific topic can help in determining what people think about measures undertaken by the government. It will give an idea on how many percent of people are in favor of any announcement, and how many of them stand against it. This will in turn provide areas of improvement for the ruling or opposition party. This paper thus aims on finding sentiments of tweets on a political leader, some party or announcements like a union budget. This can further be generalized to any particular measure undertaken by any organization.
CITATION STYLE
Bhatia, G., Patil, C., Naik, P., & Pingle, A. (2020). Tweet-Based Sentiment Analyzer. In Lecture Notes in Networks and Systems (Vol. 93, pp. 365–374). Springer. https://doi.org/10.1007/978-981-15-0630-7_36
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