A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network
Joint Authors
Yi, Junkai
Zhang, Yacong
Zhao, Xianghui
Wan, Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Text clustering is an effective approach to collect and organize text documents into meaningful groups for mining valuable information on the Internet.
However, there exist some issues to tackle such as feature extraction and data dimension reduction.
To overcome these problems, we present a novel approach named deep-learning vocabulary network.
The vocabulary network is constructed based on related-word set, which contains the “cooccurrence” relations of words or terms.
We replace term frequency in feature vectors with the “importance” of words in terms of vocabulary network and PageRank, which can generate more precise feature vectors to represent the meaning of text clustering.
Furthermore, sparse-group deep belief network is proposed to reduce the dimensionality of feature vectors, and we introduce coverage rate for similarity measure in Single-Pass clustering.
To verify the effectiveness of our work, we compare the approach to the representative algorithms, and experimental results show that feature vectors in terms of deep-learning vocabulary network have better clustering performance.
American Psychological Association (APA)
Yi, Junkai& Zhang, Yacong& Zhao, Xianghui& Wan, Jing. 2017. A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192303
Modern Language Association (MLA)
Yi, Junkai…[et al.]. A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192303
American Medical Association (AMA)
Yi, Junkai& Zhang, Yacong& Zhao, Xianghui& Wan, Jing. A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192303
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192303