Learning Context for Text Categorization

Details Learning Context for Text Categorization Learning Context for Text Categorization

2011-12-09

arxiv.org/abs/1112.2031v1

Computer Science

Information Retrieval

9 pages, selected in IJDKP (International Journal of Data Mining and Knowledge Management Process)

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Learning Context for Text Categorization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Learning Context for Text Categorization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning Context for Text Categorization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-43537