Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-021-00780-w.pdf
Reference75 articles.
1. Al-garadi MA, Khan MS, Varathan KD, Mujtaba G, Al-Kabsi AM (2016) Using online social networks to track a pandemic: A systematic review. J Biomed Inform 62:1–11
2. Badjatiya P, Gupta S, Gupta M, Varma V (2017) Deep learning for hate speech detection in tweets
3. 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, ser. WWW ’17 Companion. Republic and Canton of Geneva, CHE: International World Wide Web Conferences Steering Committee, pp 759–760
4. Baktashmotlagh M, Harandi MT, Lovell BC, Salzmann M (2013) Unsupervised domain adaptation by domain invariant projection, pp 769–776
5. Balasubramaniam T, Nayak R, Bashar MA (2020) Understanding the spatio-temporal topic dynamics of covid-19 using nonnegative tensor factorization: A case study. arXiv preprint arXiv:2009.09253
Cited by 12 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. Twitter’s pulse on hydrogen energy in 280 characters: a data perspective;Social Network Analysis and Mining;2024-02-01
2. ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN;2023-11-16
3. An approach to automatic classification of hate speech in sports domain on social media;Journal of Big Data;2023-06-22
4. Detection of homophobia and transphobia in YouTube comments;International Journal of Data Science and Analytics;2023-06-19
5. Short Text Sentiment Classification Using Bayesian and Deep Neural Networks;Electronics;2023-03-28
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