Comparative study of Twitter Sentiment On COVID - 19 Tweets-Reference-Cited by-同舟云学术

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Comparative study of Twitter Sentiment On COVID - 19 Tweets

Published:2021-04-08 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Nair Anu J,G Veena,Vinayak Aadithya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9417811/9418007/09418320.pdf?arnumber=9418320

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter;EPJ Data Science;2024-08-09

2. Sentiment Analysis of Livin' by Mandiri Application Reviews Using Word2Vec Feature Extraction and KNN Method;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

3. Transfer learning approach for identifying negative sentiment in tweets directed to football players;Engineering Applications of Artificial Intelligence;2024-07

4. A Comprehensive Study of Farmer's Protests Through Advanced Sentiment Analysis;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

5. Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish;Informatics;2024-04-23

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