Towards the automated generation of term-weighting schemes for text categorization

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Mauricio Garcia and Hugo J. Escalante and 
                 Manuel Montes and Alicia Morales and Eduardo Morales",
  title =        "Towards the automated generation of term-weighting
                 schemes for text categorization",
  booktitle =    "GECCO 2014 Late breaking abstracts workshop",
  year =         "2014",
  editor =       "Dirk Sudholt",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1459--1460",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "",
  DOI =          "doi:10.1145/2598394.2602286",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper describes ongoing research on the use of
                 genetic programming to learn term-weighting schemes to
                 be used for text classification. A term-weighting
                 scheme (TWS) determines the way in which documents are
                 represented before applying a text classification
                 model. We propose a genetic program that aims at
                 learning an effective TWS that can improve the
                 performance in text classification. We report
                 preliminary experimental results that give evidence of
                 the validity of the proposal.",
  notes =        "Also known as \cite{2602286} Distributed at

Genetic Programming entries for Mauricio Garcia-Limon Hugo Jair Escalante Manuel Montes Alicia Morales Eduardo F Morales