IR-based k-Nearest Neighbor Approach for Identifying Abnormal Chat Users
نویسندگان
چکیده
This paper addresses a task of automatically identifying abnormal chat users where training data is given as a collection of chat messages from both abnormal and normal users. We employ a k-NN classification based on an IR technique. A document is constructed in per-conversation for each user by concatenating his/her messages in a conversation. A query is constructed for a new user in the same way. A k-NN classification is then performed using top retrieved documents in response to the query.
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تاریخ انتشار 2012