Learning Context For Text Categorization
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 |