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Research Article | Open Access |

IRS for Computer Character Sequences Filtration: a new software tool and algorithm to support the IRS at tokenization process

Author 1: Ahmad Al Badawi Author 2: Qasem Abu Al-Haija
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 2 · Published 2013

DOI: https://doi.org/10.14569/IJACSA.2013.040212

Abstract

Tokenization is the task of chopping it up into pieces, called tokens, perhaps at the same time throwing away certain characters, such as punctuation. A token is an instance of token a sequence of characters in some particular document that are grouped together as a useful semantic unit for processing. New software tool and algorithm to support the IRS at tokenization process are presented. Our proposed tool will filter out the three computer character Sequences: IP-Addresses, Web URLs, Date, and Email Addresses. Our tool will use the pattern matching algorithms and filtration methods. After this process, the IRS can start a new tokenization process on the new retrieved text which will be free of these sequences.

Keywords

How to Cite this Article

Badawi, A. A., & Al-Haija, Q. A. (2013). IRS for Computer Character Sequences Filtration: a new software tool and algorithm to support the IRS at tokenization process. International Journal of Advanced Computer Science and Applications, 4(2). https://doi.org/10.14569/IJACSA.2013.040212

Badawi, Ahmad Al, and Qasem Abu Al-Haija. "IRS for Computer Character Sequences Filtration: a new software tool and algorithm to support the IRS at tokenization process." International Journal of Advanced Computer Science and Applications, vol. 4, no. 2, 2013, https://doi.org/10.14569/IJACSA.2013.040212.

@article{Badawi2013,
  title     = {IRS for Computer Character Sequences Filtration: a new software tool and algorithm to support the IRS at tokenization process},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {2},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Ahmad Al Badawi and Qasem Abu Al-Haija},
  doi       = {10.14569/IJACSA.2013.040212},
  url       = {https://doi.org/10.14569/IJACSA.2013.040212}
}

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