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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of digital library systems 2014-07, Vol.4 (2), p.16-28
Hauptverfasser: Amine, Abdelmalek, Hamou, Reda Mohamed, Simonet, Michel
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1947-9077
1947-9085
DOI:10.4018/IJDLS.2014070102