Information system for detecting the hidden swear words in text messages based on visual similarity of symbols

Abstract

The qualification (master's) thesis investigates the problem of detecting hidden swear words in text messages based on visual similarity of symbols. The existing symbol similarity matrices and algorithms for finding hidden profanity are analyzed, and a system that solves the problem based on these data is developed.