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http://dx.doi.org/10.6109/jkiice.2011.15.7.1531

A Swearword Filter System for Online Game Chatting  

Lee, Song-Wook (충주대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.7, 2011 , pp. 1531-1536 More about this Journal
Abstract
We propose an automatic swearword filter system for online game chatting by using Support Vector Machines(SVM). We collected chatting sentences from online games and tagged them as normal sentences or swearword included sentences. We use n-gram syllables and lexical-part of speech (POS) tags of a word as features and select useful features by chi square statistics. Each selected feature is represented as binary weight and used in training SVM. SVM classifies each chatting sentence as swearword included one or not. In experiment, we acquired overall 90.4% of F1 accuracy.
Keywords
online game; swearword filter; support vector machine; chi square statistics;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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