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http://dx.doi.org/10.7583/JKGS.2018.18.5.83

A Study on Automatic Comment Generation Using Deep Learning  

Choi, Jae-yong (Dept. of Game & Multimedia Engineering, Korea Polytechnic University)
Sung, So-yun (Dept. of Game & Multimedia Engineering, Korea Polytechnic University)
Kim, Kyoung-chul (Dept. of Game & Multimedia Engineering, Korea Polytechnic University)
Publication Information
Journal of Korea Game Society / v.18, no.5, 2018 , pp. 83-92 More about this Journal
Abstract
Many studies in deep learning show results as good as human's decision in various fields. And importance of activation of online-community and SNS grows up in game industry. Even it decides whether a game can be successful or not. The purpose of this study is to construct a system which can read texts and create comments according to schedule in online-community and SNS using deep learning. Using recurrent neural network, we constructed models generating a comment and a schedule of writing comments, and made program choosing a news title and uploading the comment at twitter in calculated time automatically. This study can be applied to activating an online game community, a Q&A service, etc.
Keywords
Deep Learning; Online Community; Natural Language Generation;
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