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Categorization of news articles using neural text categorizer | IEEE Conference Publication | IEEE Xplore

Categorization of news articles using neural text categorizer


Abstract:

This research proposes the application of NTC (neural text categorizer) for categorizing news articles. Even if the research on text categorization has been progressed ve...Show More

Abstract:

This research proposes the application of NTC (neural text categorizer) for categorizing news articles. Even if the research on text categorization has been progressed very much, documents should be still encoded into numerical vectors. Encoding so causes the two main problems: huge dimensionality and sparse distribution. The idea of this research as the solution to the problems is to encode documents into string vectors and apply the NTC as a string vector based approach to text categorization. The idea will be described in detail and validated.
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584
Conference Location: Jeju, Korea (South)

References

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