Text mining in the classification of digital documents

Authors

DOI:

https://doi.org/10.5195/biblios.2016.309

Keywords:

Text mining, Classification, Automated classifier, Bibliographic material

Abstract

Objective: Develop an automated classifier for the classification of bibliographic material by means of the text mining. Methodology: The text mining is used for the development of the classifier, based on a method of type supervised, conformed by two phases; learning and recognition, in the learning phase, the classifier learns patterns across the analysis of bibliographical records, of the classification Z, belonging to library science, information sciences and information resources, recovered from the database LIBRUNAM, in this phase is obtained the classifier capable of recognizing different subclasses (LC). In the recognition phase the classifier is validated and evaluates across classification tests, for this end bibliographical records of the classification Z are taken randomly, classified by a cataloguer and processed by the automated classifier, in order to obtain the precision of the automated classifier. Results: The application of the text mining achieved the development of the automated classifier, through the method classifying documents supervised type. The precision of the classifier was calculated doing the comparison among the assigned topics manually and automated obtaining 75.70% of precision. Conclusions: The application of text mining facilitated the creation of automated classifier, allowing to obtain useful technology for the classification of bibliographical material with the aim of improving and speed up the process of organizing digital documents.

Author Biography

Marcial Contreras Barrera, Universidad Nacional Autónoma de México – UNAM

Técnico Académico, Subdirección de Informática, Departamento de Producción, Dirección General de Bibliotecas, Universidad Nacional Autónoma de México – UNAM, México.

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Published

2016-11-21

How to Cite

Contreras Barrera, M. (2016). Text mining in the classification of digital documents. Biblios Journal of Librarianship and Information Science, (64), 33–43. https://doi.org/10.5195/biblios.2016.309

Issue

No. 64 (2016)

Section

Original

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