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

    ASAP- An Advanced System for Assessing Chat Participants

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    The paper presents a method and an implemented system for the assessment of the participants competences in a collaborative environment based on an instant messenger conversation (chat). For each utterance in the chat, a score is computed that takes into account several features, specific to text mining (like the presence and the density of keywords, via synonymy), natural language pragmatics and to social networks. The total rating of the competence of a participant is computed considering the scores of utterances and inter-utterance factors. Within the frame of the developed system, special attention was given to multiple ways of visualizing the analysis results. An annotation editor was also implemented and used in order to construct a golden standard, which was further employed for the evaluation of the developed assessment tools.

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    Description

    Title : ASAP- An Advanced System for Assessing Chat Participants
    Author(s) : Mihai Dascalu, Erol-Valeriu Chioasca, Stefan Trausan-Matu
    Abstract : The paper presents a method and an implemented system for the assessment of the participants competences in a collaborative environment based on an instant messenger conversation (chat). For each utterance in the chat, a score is computed that takes into account several features, specific to text mining (like the presence and the density of keywords, via synonymy), natural language pragmatics and to social networks. The total rating of the competence of a participant is computed considering the scores of utterances and inter-utterance factors. Within the frame of the developed system, special attention was given to multiple ways of visualizing the analysis results. An annotation editor was also implemented and used in order to construct a golden standard, which was further employed for the evaluation of the developed assessment tools.
    Subject : unspecified
    Area : Other
    Year : 2008

    Affiliations Computer Science Department, Politehnica University of Bucharest
    Editors : Danail Dochev, Marco Pistore, Paolo Traverso
    Journal : Lecture Notes In Artificial Intelligence Vol 5253
    Volume : 5253
    Publisher : Springer Berlin Heidelberg
    City : Berlin, Heidelberg
    Pages : 58 - 68
    Url : http://www.springerlink.com/index/10.1007/978-3-540-85776-1_6
    Isbn : 978-3-540-85775-4
    Doi : 10.1007/978-3-540-85776-1_6

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    Stefan's Peer Evaluation activity

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