Twitter Sentiment Analysis System
Author:
Publisher
Foundation of Computer Science
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by 10 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. An analysis of public topics and sentiments based on social media during the COVID-19 Omicron Variant outbreak in Shanghai 2022;Computational Urban Science;2024-08-02
2. Sentiment Analysis on Twitter through Machine Learning: A Comprehensive Approach with User-Centric Visualisations;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-08
3. Research on Computer Interaction Design Based on User Emotion Recognition Algorithm;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01
4. Catholic Impact Evolution Through Public Twitter Data During COVID-19;International Journal of Cloud Applications and Computing;2022-07-21
5. A novel algorithm for sarcasm detection using supervised machine learning approach;AIMS Electronics and Electrical Engineering;2022
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