Internet and chat mediums provide important and quite useful information about human life in different societies such as their
current interests, habits, social behaviors and criminal tendency. In this study, we have presented an intelligent identification
system that is designed to identify the sex of a person in a Turkish chat medium. To do this task, a target oriented chat
agent is implemented. A simple discrimination function is proposed for sex identification. The system also uses a semantic
analysis method to determine the sex of the chatters. Here, the sex identification is taken as an example in the information
extraction in chat mediums. This proposed identification system employs the agent and acquires data from a chat medium, and
then automatically detects the chatter’s sex from the information exchanged between the agent and chatter. The system has
achieved accuracy about 90% in the sex identification in a real chat medium.
Keywords Natural Language Processing - Chat Conversations - Sex Identification - Machine Learning - Intelligent Agent