Contextual Analysis for Text Categorization

Provided by: IRD India
Topic: Data Management
Format: PDF
In the analysis of document collection such as project status reports or annual reports and sport reports, each document and each sentence tend to be relatively long. The document categorization approach is derived from a combination of a learning paradigm known as relation extraction and a technique known as context discovery. In this paper, the authors propose an analysis approach based on contextual for text categorization. Their experimental results indicate that the learned context greatly improves the categorization performance as compared to traditional categorization approaches.

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