  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.
