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The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification

The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification

Reda Mohamed Hamou, Abdelmalek Amine, Ahmed Chaouki Lokbani
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 14
ISSN: 1947-3087|EISSN: 1947-3079|EISBN13: 9781466610910|DOI: 10.4018/jalr.2012070101
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MLA

Hamou, Reda Mohamed, et al. "The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification." IJALR vol.3, no.3 2012: pp.1-14. http://doi.org/10.4018/jalr.2012070101

APA

Hamou, R. M., Amine, A., & Lokbani, A. C. (2012). The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification. International Journal of Artificial Life Research (IJALR), 3(3), 1-14. http://doi.org/10.4018/jalr.2012070101

Chicago

Hamou, Reda Mohamed, Abdelmalek Amine, and Ahmed Chaouki Lokbani. "The Social Spiders in the Clustering of Texts: Towards an Aspect of Visual Classification," International Journal of Artificial Life Research (IJALR) 3, no.3: 1-14. http://doi.org/10.4018/jalr.2012070101

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Abstract

In this paper the authors experiment and test a new biomimetic approach based on social spiders to solve a combinatorial problem ie the automatic classification of texts because a very large data stream flows and particularly on the web. Representation of textual data was performed by a method independent of the language ie n-gram characters and words because there is currently no method of learning that can directly represent unstructured data (text). To validate the classification, the authors used a measure of evaluation based on recall and precision (F-measure). During the experiment, the authors found a powerful visualization tool in social spiders that they exploit to make visual classification.

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