Browsing by Subject "Chat mining"

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    Chat mining for gender prediction
    (Springer, 2006-10) Küçükyılmaz, Tayfun; Cambazoğlu, B. Barla; Aykanat, Cevdet; Can, Fazlı
    The aim of this paper is to investigate the feasibility of predicting the gender of a text document's author using linguistic evidence. For this purpose, term- and style-based classification techniques are evaluated over a large collection of chat messages. Prediction accuracies up to 84.2% are achieved, illustrating the applicability of these techniques to gender prediction. Moreover, the reverse problem is exploited, and the effect of gender on the writing style is discussed. © Springer-Verlag Berlin Heidelberg 2006.
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    Chat mining: predicting user and message attributes in computer-mediated communication
    (Elsevier Ltd, 2008-07) Kucukyilmaz T.; Cambazoglu, B. B.; Aykanat, Cevdet; Can, F.
    The focus of this paper is to investigate the possibility of predicting several user and message attributes in text-based, real-time, online messaging services. For this purpose, a large collection of chat messages is examined. The applicability of various supervised classification techniques for extracting information from the chat messages is evaluated. Two competing models are used for defining the chat mining problem. A term-based approach is used to investigate the user and message attributes in the context of vocabulary use while a style-based approach is used to examine the chat messages according to the variations in the authors' writing styles. Among 100 authors, the identity of an author is correctly predicted with 99.7% accuracy. Moreover, the reverse problem is exploited, and the effect of author attributes on computer-mediated communications is discussed. © 2008 Elsevier Ltd. All rights reserved.