Proposing a Method to Classify Texts Using Data Mining

Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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JR_JACR-6-4_009

تاریخ نمایه سازی: 16 شهریور 1395

Abstract:

Today a significant part of available data is saved in text database or textdocuments. The most important thing is to organize these documents. One way toorganize text documents is to classify them. To classify texts is to assign textdocuments to their actual categories. This has two main steps, i.e. feature- andlearning algorithm selection. There have been several methods suggested to classifytext documents. In this paper, we propose a combined method to do this moreefficiently. When selecting features, the proposed method uses filtering in order toreduce complexity and it is implemented using naïve Bayes and decision treecategories. Results indicate advantages of this combined method to individualclassifying.

Authors

Mohammad Rostami

Member of Young Researchers Club, Islamic Azad University, Dehaghan Branch, Isfahan, Iran

Seyed Saeed Ayat

Associate Professor, Department of Computer Engineering and Information Technology, Payame Noor University, Iran

Iman Attarzadeh

Department of Computer Engineering, Islamic Azad University, Dezfoul Branch, Iran

Farid Saghari

MS c, software engineering department