کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
515735 867088 2008 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Chat mining: Predicting user and message attributes in computer-mediated communication
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Chat mining: Predicting user and message attributes in computer-mediated communication
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing & Management - Volume 44, Issue 4, July 2008, Pages 1448–1466
نویسندگان
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