Detecting Abusive Comments in Discussion Threads Using Naïve Bayes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Detecting Abusive Comments in Discussion Threads Using Naïve Bayes

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)
language:
Short-container-title:

Author:

Awal Md. Abdul,Rahman Md. Shamimur,Rabbi Jakaria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8736112/8745553/08745565.pdf?arnumber=8745565

Cited by 13 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. Misogynistic attitude detection in YouTube comments and replies: A high-quality dataset and algorithmic models;Computer Speech & Language;2025-01

2. Ben-Sarc: A self-annotated corpus for sarcasm detection from Bengali social media comments and its baseline evaluation;Natural Language Processing;2024-05-27

3. Analyzing Abusive Comments in Bangla: Machine Learning Study of Feminism on Social Media;Lecture Notes in Networks and Systems;2024

4. Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online;Information Systems Frontiers;2023-11-24

5. Automatic Vulgar Word Extraction Method with Application to Vulgar Remark Detection in Chittagonian Dialect of Bangla;Applied Sciences;2023-10-30

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