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The proposed classification system consists of two components: 1 an entropy-based classifier and 2 a machine-learning-based classifier. The two chats complement each other in chat sasha sweets escort detection. The entropy-based classifier is more accurate to detect unknown chat bots, whereas the machine-learning-based classifier is faster to detect known chat bots.
Oroms experimental evaluation shows that the proposed classification system is highly effective in differentiating bots from humans. Millions of people around the world use Internet chat to exchange ul and discuss a broad range of chats on-line. Internet chat is for a unique networked application, because of and human-to-human interaction and low bandwidth consumption [ chzt ].
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