An Information Extraction Support System from BBS Using Topic Mapping Based on Structure of Conversation with a 3-dimensional Space

This paper presents a method for atypical opinion extraction from ungrammatical answers to open-ended questions supplied through cellular phones. The proposed system excludes typical opinions and extracts only atypical opinions. To cope with incomplete syntax of texts due to the input by cellular phones, the system treats the opinions as the sets of keywords. The combinations of words are established beforehand in a typical word database. Based on the ratio of typical word combinations in sentences of an opinion, the system classifies the opinion typical or atypical. When typical word combinations are sought in an opinion, the system considers the word order and the distance of difference between the positions of words to exclude unnecessary combinations. Furthermore, when an opinion includes meanings the system divides the opinion into phrases at each typical word combination. By applying questionnaire data supplied by users of a mobile game content when they cancel their account, the extraction accuracy of the proposed system was confirmed.

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“…3-1-1 Department of Information Systems Engineering, Osaka Sangyo University 3-1-1, Nakagaito, Daitou, Osaka 574-8530 (9) (11) 3.…”

Section: -8530mentioning

confidence: 99%

Method for Atypical Opinion Extraction from Ungrammatical Answers in Open-ended Questions

Hiramatsu

Tamura

Oiso³

et al. 2005

IEEJ Trans.EIS

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“…In text mining research for questionnaire analysis, the main keywords are extracted with the word concurrence graphs; search words are recognized as important by conditional probabilities that show relationships between words or main keywords, expressed by many users, they are extracted [Z]. Thus the process of many text mining research methods includes summarization, extraction of themes, and categorization [3][41 [5][6] [7]. However, little text mining research has sought to extract unique data.…”

Section: Norihisa Komodamentioning

confidence: 99%

Support system for analyzing open-ended questionnaires data by culling typical opinions

Hiramatsu

Oiso²,

Tamura³

et al.

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)

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This paper proposes a support system for analyzing answers to open-ended questions supplied by users of the mobile game content reply when they unsubscribe from the services. Because useful, unexpected opinions (the atypical opinions) are only 5%of all answers, it is inefticient to read them all to find a useful one. Therefore, we propose a support system for analysis of unsubscribing questionnaire data. The main function of the support system excludes typical opinions and extracts only atypical opinions. The combination of words is established beforehand in a typical ward database. Based on the ratio of typical word contbinations in the sentences of an opinion, /he system classifies /he opinion typical or at)'pical.

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Method for atypical opinion extraction from answers in open-ended questions

Hiramatsu¹,

Tamura²,

Oiso³

et al.

Second IEEE International Conference on Computational Cybernetics, 2004. ICCC 2004.

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This paper presents a method for atypical opinion extraction from answers to open-ended questions supplied by users of a mobile game content when they unsubscribe from the service. The proposed system excludes typical opinions and extracts only atypical opinions. To cope with incomplete syntax of texts due to the input by mobile phone, the system treats the opinions as the sets of keywords. The combination of words are established beforehand in a typical word database. Based on the ratio of typical word combinations in sentences of an opinion, the system classifies the opinion typical or atypical. When typical word combinations are sought in an opinion, the system considers the word order and the distance of difference between the positions of words to exclude unnecessary combinations. Furthermore, when an opinion includes meanings the system divides the opinion into phrases at each typical word combination.With an experiment, the extraction accuracy of the proposed system was confirmed.

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An Information Extraction Support System from BBS Using Topic Mapping Based on Structure of Conversation with a 3-dimensional Space

Cited by 3 publications

References 8 publications

Method for Atypical Opinion Extraction from Ungrammatical Answers in Open-ended Questions

Method for Atypical Opinion Extraction from Ungrammatical Answers in Open-ended Questions

Support system for analyzing open-ended questionnaires data by culling typical opinions

Method for atypical opinion extraction from answers in open-ended questions

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