Sentiment Analysis with Tweets Behaviour in Twitter Streaming API

Author:

Chouhan Kuldeep,Yadav Mukesh,Kumar Rout Ranjeet,Sagar Sahoo Kshira,Jhanjhi NZ,Masud Mehedi,Aljahdali Sultan

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference43 articles.

1. A study on sentiment analysis techniques of Twitter data;Alsaeedi;International Journal of Advanced Computer Science and Applications,2019

2. Influence factor-based opinion mining of Twitter data using supervised learning;Anjaria,2014

3. Machine learning method for cosmetic product recognition: A visual searching approach;Umer;Multimedia Tools and Applications,2021

4. Which APIs are handling billions of requests per day?;DuVander;Programmable Web,2012

5. Deep learning-based sentiment analysis of COVID-19 vaccination responses from Twitter data;Alam;Computational and Mathematical Methods in Medicine,2021

Cited by 7 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. Public Opinion in Conflict Situations: A Sentiment Analysis of Tweets About Russia During the War on Ukraine;Defence and Peace Economics;2024-07-20

2. A Multi-Model Approach for Disaster-Related Tweets;Journal of Computers, Mechanical and Management;2024-07-01

3. Cyberbullying Detection on Multiclass Data Using Machine Learning and A Hybrid CNN-BiLSTM Architecture;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

4. A Sentiment Analysis of Tweets by Using TF-IDF Vectorizer and Lemmatization with POS Tagging;Springer Proceedings in Mathematics & Statistics;2024

5. Sentiment Analysis Using NLP & Deep Learning on Social Media Tweets;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27

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