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    Computer Science Department, Politehnica University of Bucharest
    Research Institute for Artificial Intelligence

    Toolkit for automatic analysis of chat conversations

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    Text-based tools, such as instant messaging, forums or blogs enable online collaboration in communities all over the world. Data sources that are more conversational in nature tend to have a typical, time-driven structure that existing text analyzing tools don't take into consideration. In this paper we propose a toolkit for information extraction from chat sessions. The system is optimized for conversational structures, integrates natural language processing with knowledge manipulation and permits to detect the topics of chat, the threads of discussion, lexical chains, the interferences between replies and coreferences.

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    Description

    Title : Toolkit for automatic analysis of chat conversations
    Author(s) : Ana Gainaru, Stefan Daniel Dumitrescu, Stefan Trausan-Matu
    Abstract : Text-based tools, such as instant messaging, forums or blogs enable online collaboration in communities all over the world. Data sources that are more conversational in nature tend to have a typical, time-driven structure that existing text analyzing tools don't take into consideration. In this paper we propose a toolkit for information extraction from chat sessions. The system is optimized for conversational structures, integrates natural language processing with knowledge manipulation and permits to detect the topics of chat, the threads of discussion, lexical chains, the interferences between replies and coreferences.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations Computer Science Department, Politehnica University of Bucharest
    Editors : Philip Tsang, Simon Cheung, Victor Lee, Ronghuai Huang
    Journal : Architecture
    Issue : 6248
    Publisher : IEEE
    Pages : 99 - 102
    Url : http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5509066
    Isbn : 978-1-4244-6360-2
    Doi : 10.1109/ICCOMM.2010.5509066

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    Stefan's Peer Evaluation activity

    Downloads 385
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    Followed by 2
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