TY - GEN
T1 - Text mining of bankruptcy information using formal concept analysis
AU - Hirokawa, Sachio
AU - Baba, Takahiro
AU - Nakatoh, Tetsuya
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84858761578&partnerID=8YFLogxK
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U2 - 10.1109/ICAwST.2011.6163185
DO - 10.1109/ICAwST.2011.6163185
M3 - Conference contribution
AN - SCOPUS:84858761578
SN - 9781457708879
T3 - Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
SP - 527
EP - 532
BT - Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
T2 - 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
Y2 - 27 September 2011 through 30 September 2011
ER -