Analysis of Online Conversations to Detect Cyberpredators Using Recurrent Neural Networks Jinhwa Kim author Yoon Jo Kim author Mitra Behzadi author Ian G Harris author 2020-may text English eng Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management European Language Resources Association Marseille, France conference publication 979-10-95546-39-9 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. kim-etal-2020-analysis https://www.aclweb.org/anthology/2020.stoc-1.3 2020-may 15 20