Digital Violence Against Women: A Time Series Analysis
Author:
Affiliation:
1. School of Engineering and Sciences, Tecnologico de Monterrey, Mexico
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3501774.3501797
Reference11 articles.
1. CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter
2. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
3. Christopher M. Bishop . 2006. Pattern recognition and machine learning . Springer . Christopher M. Bishop. 2006. Pattern recognition and machine learning. Springer.
4. Flavia Fascendini and Kateřina Fialová . 2011. Voices from digital spaces: Technology related violence against women . Association for Progressive Communications (APC) ( 2011 ). Flavia Fascendini and Kateřina Fialová. 2011. Voices from digital spaces: Technology related violence against women. Association for Progressive Communications (APC) (2011).
5. A Sentiment Analysis and Unsupervised Learning Approach to Digital Violence Against Women: Monterrey Case
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