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A Swearword Filter System for Online Game Chatting
- Source :
- The Journal of the Korean Institute of Information and Communication Engineering. 15:1531-1536
- Publication Year :
- 2011
- Publisher :
- Korea Institute of Information and Communication Engineering (Nurimedia), 2011.
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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.
Details
- ISSN :
- 22344772
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- The Journal of the Korean Institute of Information and Communication Engineering
- Accession number :
- edsair.doi...........5d98356505f222198411e044f8bad3d8