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A Self-Enriching Methodology for Clustering Narrow Domain Short Texts

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A Self-Enriching Methodology for Clustering Narrow Domain Short Texts

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Pinto, D.; Rosso, P.; Jiménez-Salazar, H. (2011). A Self-Enriching Methodology for Clustering Narrow Domain Short Texts. Computer Journal. 54(7):1148-1165. doi:10.1093/comjnl/bxq069

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/30421

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Title: A Self-Enriching Methodology for Clustering Narrow Domain Short Texts
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Clustering narrow domain short texts is considered to be a complex task because of the intrinsic features of the corpus to be clustered: (i) the low frequencies of vocabulary terms in short texts, and (ii) the high vocabulary ...[+]
Subjects: Clustering and analysis of textual data , Narrow domain short texts , Natural language processing , Internet tools
Copyrigths: Cerrado
Source:
Computer Journal. (issn: 0010-4620 ) (eissn: 1460-2067 )
DOI: 10.1093/comjnl/bxq069
Publisher:
Oxford University Press (OUP): Policy A - Oxford Open Option A
Publisher version: http://dx.doi.org/10.1093/comjnl/bxq069
Thanks:
This work was supported by MICINN project TEXT-ENTERPRISE 2.0 TIN2009-13391-C04-03 (Plan I+D+i) and the CONACYT research project number 106625.
Type: Artículo

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