Intuitionistic Partition based Conceptual Granulation Topic-Term Modeling

D. Malathi; S. Valarmathy

Intuitionistic Partition based Conceptual Granulation Topic-Term Modeling

D. Malathi * §

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S. Valarmathy

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Bannari Amman Institute of Technology, Anna Universi...

Intuitionistic Partition based Conceptual Granulation Topic-Term Modeling

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Abstract

Analysis represented in vector space model is often used in information retrieval, topic analysis, and automatic classification. However, it hardly deals with fuzzy information and decision-making problems. To account this, Intuitionistic partition based cosine similarity measure between topic/terms and correlation between document/topic are proposed for evaluation. Conceptual granulation is emphasized in the decision matrix expressed conventionally as tf-idf. A local clustering of topic-terms and document-topics results in comparing dependent terms with membership degree using cosine similarity measure and correlation. A preprocessing of documents with intuitionistic fuzzy sets results in efficient classification of large corpus. But it depends on the datasets chosen. The proposed method effectively works well with large sized categorized corpus.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

D. Malathi, S. Valarmathy. 2014. "Intuitionistic Partition based Conceptual Granulation Topic-Term Modeling". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C2).

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GJCST Volume 14 Issue C2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

document analysis intuitionistic fuzzy topic modeling

Classification

GJCST-C Classification K.6.3

Submission ReceivedDecember 15, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

May 15, 2014

Language

English

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Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: D. Malathi, S. Valarmathy (PhD/Dr. count: 0)

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Publish Date: 2014 01, Wed

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