Sentiment analysis on twitter data based on spider monkey optimization and deep learning for future prediction of the brands

Author:

Kothamasu Lakshmi Anusha1ORCID,Kannan E.2

Affiliation:

1. Research Scholar, Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamilnadu India

2. Professor, Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamilnadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference15 articles.

1. The New Rules of Marketing and PR

2. How social media is influencing purchase decisions;Barker S;Soc Media Week,2017

3. EbnerT.What is a social media firestorm? A clear checklist and definition – Social media #facts. [Online] Social Media #Facts; 2019.

4. QadeerS.Simple digital PID controller for smart system. Proceedings of the 62nd International Instrumentation Symposium and MFPT; 2016.

5. Ideal position and size selection of unified power flow controllers (UPFCs) to upgrade the dynamic stability of systems: An antlion optimiser and invasive weed optimisation Algorithm

Cited by 5 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 of spider monkey optimization: modification and its biomedical application;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-12-22

2. Optimum redundancy allocation using spider monkey optimization;Soft Computing;2023-07-03

3. Hybrid Spider Monkey Optimization Technique for Twitter Sentiment Inspection;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16

4. Systematic Literature Review for Sentiment Analysis Using Big Data social media Streams;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14

5. Temporal pattern mining from user-generated content;Digital Communications and Networks;2022-12

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