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 - Dec 1 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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  • Cite this

    Hirokawa, S., Baba, T., & Nakatoh, T. (2011). Text mining of bankruptcy information using formal concept analysis. In Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011 (pp. 527-532). [6163185] (Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011). https://doi.org/10.1109/ICAwST.2011.6163185