UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFE06015


Registration ID:
316968

Page Number

79-84

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Title

Fuzzy Self-Constructing Feature Clustering (FFC) Method for Text Classification

Abstract

Feature clustering is an effective approach for text classification that reduces the dimensions of features extracted. For feature clustering, a fuzzy similarity-based self-constructing method is presented. Based on a similarity test, the words in a document set's feature vector are classified into clusters. Words with similar meanings are put together in a cluster. A membership function with statistical mean and deviation distinguishes each cluster. When some of the phrases have been entered, the system automatically creates the required number of clusters. There is one extracted feature for each cluster. The extracted feature, which corresponds to a cluster, is a weighted combination of the cluster's words. The resulting membership functions from this technique closely resemble and accurately depict the true distribution of the training data. Furthermore, the user does not need to define the number of extracted features in advance, which eliminates the requirement for trial-and-error to determine the suitable number of extracted features. Experiments demonstrate that it can extract characteristics faster and more accurately than previous approaches.

Key Words

Fuzzy Self-Constructing Feature Clustering (FFC) Method for Text Classification

Cite This Article

"Fuzzy Self-Constructing Feature Clustering (FFC) Method for Text Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.79-84, February-2019, Available :http://www.jetir.org/papers/JETIRFE06015.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fuzzy Self-Constructing Feature Clustering (FFC) Method for Text Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp79-84, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06015.pdf

Publication Details

Published Paper ID: JETIRFE06015
Registration ID: 316968
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 79-84
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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