Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning
Author:
Affiliation:
1. RUET,Department of CSE,Rajshahi,Bangladesh,6204
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054512/10054643/10055507.pdf?arnumber=10055507
Reference12 articles.
1. A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets
2. Twitter as a lifeline: Human- annotated twitter corpora for nlp of crisis-related messages;imran;Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016),2016
3. Sentiment analysis in social media texts;balahur;Proceedings of the 4th Workshop on Computational Approaches to Subjectivity Sentiment and Social Media Analysis,2013
Cited by 1 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. Has sentiment returned to the pre-pandemic level? A sentiment analysis using U.S. college subreddit data from 2019 to 2022;PLOS ONE;2024-03-15
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