Application of Web Search Results for Document Classification

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)

Abstract

In this chapter, we propose a method applying Web search results to the document classification for the purpose of enriching the amount of the training corpus. For the query that will be submitted to a Web search engine, the proposed method generates the Web query based on the matching score between words in documents and the category. Experimental results show that the Web query based on the higher ranked words can improve the document classification performance while the Web query based on the lower ranked words makes worse the document classification performance.

Keywords

Document classification Web search results Query generation 

Notes

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A3013405).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.SangMyung UniversityJongno-gu, SeoulKorea

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