Author:
Thirupathi Lingala,Rekha G.,Shruthi S. K.,Sowjanya B.,Jujuroo Sowmya
Publisher
Springer Nature Singapore
Reference30 articles.
1. Fouad MM, Gharib TF, Mashat AS (2018) Efficient Twitter Sentiment Analysis System with Feature Selection and lassifier Ensemble. International Conference on Advanced Machine Learning Technologies and Applications. Springer, pp 516–527
2. Musto C, Semeraro G, Polignano M (2014) A comparison of lexiconbased approaches for sentiment analysis of microblog posts. Info Filtering Retrieval 59
3. Kharde V, Sonawane P Sentiment analysis of twitter data: a survey of techniques. arXiv preprint 1601.06971
4. Harb A, Plantié M, Dray G, Roche M, Trousset F, Poncelet P (2008) Web Opinion Mining: How to extract opinions from blogs? In: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, ACM, pp 211–217
5. Pang B, Lee L, Vaithyanathan S (2002) Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 conference on Empirical methods in natural language processing vol 10, Association for Computational Linguistics, pp 79–86
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. Evaluation of Twitter Sentiment towards COVID-19;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16