Random Forest Application of Twitter Data Sentiment Analysis in Online Social Network Prediction

Author:

Munshi Arnav,Arvindhan M.,Thirunavukkarasu K.

Publisher

Wiley

Reference20 articles.

1. DosSantos C.N.andGatti M. Deep convolutionalneural networks for sentiment analysis of short texts in:Proc. COLING2014 the 25th Int. Conf. Computational Linguistics: Technical Paper Dublin Ireland pp. 69–78 2014.

2. Hasan M. Rundensteiner E. Agu E. EMOTEX: Detecting emotions in twitter messages in:Proc. 2014ASE Bigdata/Socialcom/Cybersecurity Conf Stanford University CA USA 2014.

3. Liu S.J. Yang N. Li M. Zhou M. A recursive recurrent neural network for statistical machine translation in:Proc. 52nd Annual Meeting of the Association for Computational Linguistics Baltimore MD USA pp. 1491–1500 2014.

4. A case study of Spanish text transformations for twitter sentiment analysis;Tellez E.S.;Expert Syst. Appl.,2017

5. Neethu M.S.andRajasree R. Sentiment analysis in twitter using machine learning techniques.Computing Communications and Networking Technologies (ICCCNT) 2013Fourth International Conference on. IEEE 2013.

Cited by 8 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. Semantic difference-based feature extraction technique for fake news detection;The Journal of Supercomputing;2024-06-26

2. Comparison of Long Short-Term Memory and Alexnet model for predicting pest in agriculture land;AIP Conference Proceedings;2024

3. Often Overindulge-Based Personality Classification Used in Neural Network Compared with Random Forest to Attain Accuracy;Lecture Notes in Networks and Systems;2024

4. Depression Detection and Accuracy Analysis Using Various Machine Learning Algorithms on Twitter;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

5. An IoT Based Mood Evaluation Device for Pets: Power of Computer Learning;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3