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인공신경망을 적용한 악성 댓글 분류 모델들의 성능 비교

Author

김진우, 조혜인, 이봉규

Journal Title

디지털콘텐츠학회논문지

Publication Year

2019

Topics

#Artificial neural network

Summary

This study compared the performance of malicious comment classification models based on artificial neural networks. Twelve models applying various part-of-speech tagging methods and RNN, LSTM, and GRU algorithms were compared, suggesting that AI algorithm-based text classification service research can be utilized in malicious comment classification and various other fields.

Journal Influence

[디지털콘텐츠학회논문지]