Statistical Identification of Key Phrases for Text Classification 1st Edition by Frans Coenen, Paul Leng, Robert Sanderson, Yanbo Wang 9783540734987

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ISBN 13: 9783540734987

Author: Frans Coenen, Paul Leng, Robert Sanderson; Yanbo J. Wang

Algorithms for text classification generally involve two stages, the first of which aims to identify textual elements (words and/or phrases) that may be relevant to the classification process. This stage often involves an analysis of the text that is both language-specific and possibly domain-specific, and may also be computationally costly. In this paper we examine a number of alternative keyword-generation methods and phrase-construction strategies that identify key words and phrases by simple, language-independent statistical properties. We present results that demonstrate that these methods can produce good classification accuracy, with the best results being obtained using a phrase-based approach.

Statistical Identification of Key Phrases for Text Classification 1st Table of contents:

1 Introduction

2 Previous Work

3 Experimental Organisation

4 Phrase Identification

5 Phrase Identification

6 Experimental Results

7 Conclusion

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