Evolved Apache Lucene SpanFirst queries are good text classifiers

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  author =       "Laurie Hirsch",
  title =        "Evolved Apache Lucene SpanFirst queries are good text
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Human readable text classifiers have a number of
                 advantages over classifiers based on complex and opaque
                 mathematical models. For some time now search queries
                 or rules have been used for classification purposes,
                 either constructed manually or automatically. We have
                 performed experiments using genetic algorithms to
                 evolve text classifiers in search query format with the
                 combined objective of classifier accuracy and
                 classifier readability. We have found that a small set
                 of disjunct Lucene SpanFirst queries effectively meet
                 both goals. This kind of query evaluates to true for a
                 document if a particular word occurs within the first N
                 words of a document. Previously researched classifiers
                 based on queries using combinations of words connected
                 with OR, AND and NOT were found to be generally less
                 accurate and (arguably) less readable. The approach is
                 evaluated using standard test sets Reuters-21578 and
                 Ohsumed and compared against several classification
  DOI =          "doi:10.1109/CEC.2010.5585955",
  notes =        "WCCI 2010. Also known as \cite{5585955}",

Genetic Programming entries for Laurence Hirsch