In a world rapidly influenced by social media, understanding public sentiment is paramount. This paper dives into sentiment analysis of Twitter data from India related to the COVID-19 pandemic. By extracting tweets and analyzing them, the researchers glean insights into the diverse opinions that are either positive, negative, or neutral. Using tools like the Bi-LSTM model and IBM Tone Analyzer, the research attempts to gauge the prevailing sentiments during the global health crisis.
Publication date: June 2020
Project Page: ?
Paper: https://arxiv.org/ftp/arxiv/papers/2308/2308.06241.pdf
