Category-based Extracting Keyword Method Selection with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Niimi:2002:SCIS_ISIS,
  author =       "Ayahiko Niimi and Takuma Yasunobu and 
                 Eiichiro Tazaki",
  title =        "Category-based Extracting Keyword Method Selection
                 with Genetic Programming",
  booktitle =    "Joint 1st International Conference on Soft Computing
                 and Intelligent Systems (International Session of 18th
                 SOFT Fuzzy Systems Symposium) and 3rd International
                 Symposium on Advanced Intelligent Systems (SCIS\&ISIS
                 2002)",
  year =         "2002",
  address =      "Tsukuba, Japan",
  keywords =     "genetic algorithms, genetic programming, extracting
                 keyword, categories, information retrieval",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.623.4305",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.623.4305",
  URL =          "http://www.fun.ac.jp/~niimi/ronbun/058.pdf",
  URL =          "http://hdl.handle.net/10445/3909",
  URL =          "https://lib-repos.fun.ac.jp/dspace/handle/10445/3909",
  URL =          "https://lib-repos.fun.ac.jp/dspace/bitstream/10445/3909/1/Category-based%20Extracting%20Keyword%20Method%20Selection%20with%20Genetic%20058.pdf",
  size =         "5 pages",
  abstract =     "Quality of keywords given to each document is
                 important to search documents from a lot of document
                 databases. It is necessary automatically extracting
                 high quality keywords from a document to achieve a
                 document search with high efficiency. Some extracting
                 keyword methods were proposed, but these extracted
                 keywords accuracy is depended on document categories.
                 In this paper, we proposed a keyword extraction
                 approach with selection of extracting keyword method
                 depended on document categories using genetic
                 programming. Keyword extracting methods were applied to
                 five kinds of documents with a different category for
                 the verification, it was confirmed that there was a
                 performance difference corresponding to the category in
                 the keyword extracting method. In addition, keyword
                 extracting methods were combined by using genetic
                 programming, its performance was improved from a single
                 purpose method.",
  notes =        "http://isis2017.org/?page_id=45",
}

Genetic Programming entries for Ayahiko Niimi Takuma Yasunobu Eiichiro Tazaki

Citations