Yoon Jo Kim

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2020

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Analysis of Online Conversations to Detect Cyberpredators Using Recurrent Neural Networks
Jinhwa Kim | Yoon Jo Kim | Mitra Behzadi | Ian G. Harris
Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management

We present an automated approach to analyze the text of an online conversation and determine whether one of the participants is a cyberpredator who is preying on another participant. The task is divided into two stages, 1) the classification of each message, and 2) the classification of the entire conversation. Each stage uses a Recurrent Neural Network (RNN) to perform the classification task.
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