Investigating the effect of combining GRU neural networks with handcrafted features for religious hatred detection on Arabic Twitter space
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13278-019-0587-5.pdf
Reference46 articles.
1. Al-garadi MA, Varathan KD, Ravana SD (2016) Cybercrime detection in online communications: the experimental case of cyberbullying detection in the twitter network. Comput Hum Behav 63:433–443
2. Al-Twairesh N, Al-Khalifa H, AlSalman A (2016) Arasenti: large-scale twitter-specific Arabic sentiment lexicons. In: Proceedings of the 54th annual meeting of the association for computational linguistics (volume 1: long papers), vol 1, pp 697–705
3. Albadi N, Kurdi M, Mishra S (2018) Are they our brothers? Analysis and detection of religious hate speech in the Arabic Twittersphere. In: 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE, pp 69–76
4. Badjatiya P, Gupta S, Gupta M, Varma V (2017) Deep learning for hate speech detection in tweets. In: Proceedings of the 26th international conference on world wide web companion. International World Wide Web Conferences Steering Committee, pp 759–760
5. Burton SH, Tanner KW, Giraud-Carrier CG, West JH, Barnes MD (2012) “right time, right place” health communication on twitter: value and accuracy of location information. J Med Internet Res 14(6):e156
Cited by 38 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. Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models;PLOS ONE;2024-07-17
2. A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions;Social Network Analysis and Mining;2024-05-30
3. A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions;PeerJ Computer Science;2024-04-02
4. A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets;Journal of King Saud University - Computer and Information Sciences;2024-02
5. Advancing Arabic Hate Speech Detection via Neural Transfer Learning with BERT;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
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