Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published February 6, 2019 | Version v1
Journal article Open

Learning Context For Text Categorization

  • 1. College of Engineering-Pune, India

Description

 

For more details  :ABSTRACT

This paper describes our work which is based on discovering context for text document categorization. The document categorization approach is derived from a combination of a learning paradigm known as relation extraction and an technique known as context discovery. We demonstrate the effectiveness of our categorization approach using reuters 21578 dataset and synthetic real world data from sports domain. Our experimental results indicate that the learned context greatly improves the categorization performance as compared to traditional categorization approaches.

KEYWORDS

Relation Extraction, Context Discovery, Context Feature Matrix, Context Score

Original Source URL : http://aircconline.com/ijdkp/V1N6/1611ijdkp02.pdf

For more details : http://airccse.org/journal/ijdkp/vol1.html

Files

1611ijdkp02.pdf

Files (166.8 kB)

Name Size Download all
md5:2001ea56a985ef1919c3a8725d44701e
166.8 kB Preview Download