Paper Info
Title
Automatic verbal aggression detection for Russian and American imageboards.
Abstract
The problem of aggression for Internet communities is rampant. Anonymous forums usually called imageboards are notorious for their aggressive and deviant behaviour even in comparison with other Internet communities. This study is aimed at studying ways of automatic detection of verbal expression of aggression for the most popular American (4chan.org) and Russian (2ch.hk) imageboards. A set of 1,802,789 messages was used for this study. The machine learning algorithm word2vec was applied to detect the state of aggression. A decent result is obtained for English (88%), the results for Russian are yet to be improved.
Year
Venue
Field
2016
arXiv: Computation and Language
Computer science,Cognitive psychology,Verbal aggression,Artificial intelligence,Natural language processing,Word2vec,Aggression,The Internet
DocType
Volume
Citations 
Journal
abs/1604.06648
2
PageRank 
References 
Authors
0.42
6
1
Name
Order
Citations
PageRank
Denis Gordeev162.30