Author:
Afroz Nida,Boral Moinak,Sharma Vijeta,Gupta Manjari
Cited by
15 articles.
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1. Sentiment Analysis of COVID-19 Tweets Through Flair PyTorch, Emojis, and TextBlob;Advances in Computational Intelligence and Robotics;2024-05-20
2. Detecting multiple coexisting emotions from public emergency opinions;Journal of Information Science;2024-02-21
3. Sentiment Analysis of COVID-19 Lockdown in India;Lecture Notes in Networks and Systems;2024
4. Navigating the NFT Twittersphere: Insights from Geographic, Temporal, and Engagement Analysis;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
5. Using Hybrid CNN-LSTM Model for Sentiment Analysis of COVID-19 Tweets;2023 13th International Conference on Software Technology and Engineering (ICSTE);2023-10-27