Does 3D Cellular Automata Using WordNet Can Improve Text Clustering?
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 a...
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| Veröffentlicht in: | International journal of digital library systems 2014-07, Vol.4 (2), p.16-28 |
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| container_issue | 2 |
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| container_title | International journal of digital library systems |
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| creator | Amine, Abdelmalek Hamou, Reda Mohamed Simonet, Michel |
| description | 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. |
| doi_str_mv | 10.4018/IJDLS.2014070102 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1947-9077 |
| ispartof | International journal of digital library systems, 2014-07, Vol.4 (2), p.16-28 |
| issn | 1947-9077 1947-9085 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1778049625 |
| source | Alma/SFX Local Collection |
| subjects | Cellular automata Clustering Digital systems Filtering Filtration Representations Texts Three dimensional |
| title | Does 3D Cellular Automata Using WordNet Can Improve Text Clustering? |
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