Structural analysis of chat messages for topic detection

Purpose - This paper studies the characteristics of chat messages from analyzing a collection of 33,121 sample messages gathered from 1700 sessions of conversations of 72 pairs of MSN Messenger users over 4-month duration from June to September of 2005. The primary objective of chat message characterization is to understand the properties of chat messages for effective message analysis such as message topic detection. Methodology/Approach - From the study on chat message characteristics, an indicative term-based categorization approach for chat topic detection is proposed. In the proposed approach, different techniques such as sessionalization of chat messages and extraction of features from icon texts and URLs are incorporated for message pre-processing. And Na

• Type: Journal
• Year: 2006
• Where: OIR
• Authors: Haichao Dong, Siu Cheung Hui, Yulan He
• Keywords: Indicative Term-based Categorization, OIR 2006, Term-based Categorization Approach, Topic Detection