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Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?

Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?

Abdelmalek Amine, Reda Mohamed Hamou, Michel Simonet
Copyright: © 2014 |Volume: 4 |Issue: 2 |Pages: 13
ISSN: 1947-9077|EISSN: 1947-9085|EISBN13: 9781466653603|DOI: 10.4018/IJDLS.2014070102
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MLA

Amine, Abdelmalek, et al. "Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?." IJDLS vol.4, no.2 2014: pp.16-28. http://doi.org/10.4018/IJDLS.2014070102

APA

Amine, A., Hamou, R. M., & Simonet, M. (2014). Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?. International Journal of Digital Library Systems (IJDLS), 4(2), 16-28. http://doi.org/10.4018/IJDLS.2014070102

Chicago

Amine, Abdelmalek, Reda Mohamed Hamou, and Michel Simonet. "Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?," International Journal of Digital Library Systems (IJDLS) 4, no.2: 16-28. http://doi.org/10.4018/IJDLS.2014070102

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Abstract

With the abundance of text documents available through the Web and digital libraries. Text clustering still plays an important role in information retrieval and applications like search result grouping and categorization, topic extraction and content filtering. Several clustering methods have been applied to textual documents where results depend on the application and on the representation of text. In this paper, an experiment of 3D Cellular Automata approach using WordNet for text representation is proposed and compared with some text clustering algorithms to see if this approach provides best results.

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