YouTube Sentimental Analysis Using a Combined Approach of KNN and K-means Clustering Algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

YouTube Sentimental Analysis Using a Combined Approach of KNN and K-means Clustering Algorithm

Published:2023 Issue: Volume: Page:37-50
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Adhikari Saurabh,Kaushik Ruchi,Obaid Ahmed J.,Jeyalaksshmi S.,Balaganesh D.,Hanoon Falah H.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3611-3_4

Reference22 articles.

1. Abdullah, A. O., Ali, M. A., Karabatak, M., & Sengur, A. (2018). A comparative analysis of common YouTube comment spam filtering techniques. In 2018 6th international symposium on digital forensic and security (ISDFS) (pp. 1–5). IEEE.

2. Sharmin, S., & Zaman, Z. (2017). Spam detection in social media employing machine learning tool for text mining. In 2017 13th International conference on signal-image technology & internet-based systems (SITIS) (pp. 137–142). IEEE.

3. Alhujaili, R. F., & Yafooz, W. M. (2021). Sentiment analysis for youtube videos with user comments. In 2021 International conference on artificial intelligence and smart systems (ICAIS) (pp. 814–820). IEEE.

4. Irawaty, I., Andreswari, R., &Pramesti, D. (2020). Vectorizer comparison for sentiment analysis on social media youtube: A case study. In 2020 3rd International conference on computer and informatics engineering (IC2IE) (pp. 69–74). IEEE.

5. Singh, R., & Tiwari, A. (2021). Youtube comments sentiment analysis.

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. End To End Comments Filtering Feature Using Sentimental Analysis;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

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