Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning

Author:

Chikersal Prerna,Poria Soujanya,Cambria Erik,Gelbukh Alexander,Siong Chng Eng

Publisher

Springer International Publishing

Cited by 66 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. A Review on Sentiment Analysis Techniques and Approaches;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-09

2. A Platform-Agnostic Framework for Automatically Identifying Performance Issue Reports With Heuristic Linguistic Patterns;IEEE Transactions on Software Engineering;2024-07

3. Sentiments of Rural U.S. Communities on Electric Vehicles and Infrastructure: Insights from Twitter Data;Sustainability;2024-06-06

4. Predicting sentiment analysis for Web users with a deep learning approach;2023 IEEE Tenth International Conference on Communications and Networking (ComNet);2023-11-01

5. Temporal-aware Multimodal Feature Fusion for Sentiment Analysis;Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation;2023-10-29

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