Text mining of bankruptcy information using formal concept analysis

Sachio Hirokawa, Takahiro Baba, Tetsuya Nakatoh

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    A lot of information concerning the status of companies are available on the Web. However, a simple search of documents does not explain the meaning or the cause the status. Semantical interpretation and hypotheses generation are necessary for further analysis. This paper proposes a method to analyse the cause and the situation of bankruptcy with respect to particular condition that a user can specify as a query. The method is based on the theory of formal concept analysis. The novelty of the method is in (a) that sentences are considered as objects and words are considered as attributes and (b) that a concise subgraph of the concept lattice is introduced and used to guess the cause. Two cases of interactive and iterative process are shown where a user proceeds from a simple query to a new hypothesis, which would not be able to found by a naive cross tabulation or keyword extraction.

    Original languageEnglish
    Title of host publicationProceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
    Pages527-532
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event2011 3rd International Conference on Awareness Science and Technology, iCAST 2011 - Dalian, China
    Duration: Sep 27 2011Sep 30 2011

    Publication series

    NameProceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011

    Other

    Other2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
    CountryChina
    CityDalian
    Period9/27/119/30/11

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Computer Science Applications

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