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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. In: (pp. pp. 1604-1611).

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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: Proceedings paper
Title: Evolving Lucene search queries for text classification
ISBN: 1595936971
DOI: 10.1145/1276958.1277279
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/141286
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