  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.
