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Abstract

Malicious detection is a recent area of research in which most previous work had focused on the identification of malicious text on social media. However, in this project we present
a methodology based on two new aspects: the detection of malicious posts in isolation and without previous information of the user; and the application of a statistical analysis of
language to detect malicious posts in hindi language. This growing microblogging phenomenon therefore allows spamm

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