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Evolving Lucene search queries for text classification

Hirsch, L; Hirsch, R; Saeedi, M; (2007) Evolving Lucene search queries for text classification. Presented at: UNSPECIFIED.

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Abstract

We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to construct Lucene search queries. Genetic programs acquire fitness by producing queries that are effective binary classifiers for a particular category when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from classification tasks. Copyright 2007 ACM.

Type: Conference item (UNSPECIFIED)
Title: Evolving Lucene search queries for text classification
ISBN: 1595936971
ISBN-13: 9781595936974
DOI: 10.1145/1276958.1277279
Keywords: Apache lucene, Genetic programming, Text classification
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/141286
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