Abstract
In this paper we study on recognizing user’s identity based on instant messages. Considering the special characteristics of chatting text, we mainly focus on three problems, one is how to extract the features of chatting text, the second is how the user’s model is affected by the size of training data, and the third is which classification model is fit for this problem. The chatting corpus used in this paper is collected from a Chinese IM tool and different feature selection methods and classification models are evaluate on it.
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Ding, Y., Meng, X., Chai, G., Tang, Y. (2011). User Identification for Instant Messages. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24965-5_13
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DOI: https://doi.org/10.1007/978-3-642-24965-5_13
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