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Child Predator Detection in Online Chat Conversation using Support Vector Machine

Sanjivani Chavan, Rutuja Konde, Ishita Rajoria, Tejashree Deshmukh, A.S. Sondkar

Abstract


Increase in Internet use and facilitating access to social media platform has help the predatory to establish online relationships with children which has boost to increase in online solicitation. We are proposing system that enables us to detect a predator in online chats using Text classification method. In this paper, the use of machine learning algorithm named as support vector machine has been used to determine cyber predators. The main objective of our system is to detect child predator base on chat, comments and post of social media account and send predator record to cyber cell admin & the use of PAN12 dataset is done for text classification Purpose. This paper presents our current development to enable the creation of the child predator system using SVM text classification.

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References


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