INFORMATION RETRIEVAL OF TEXT DOCUMENT WITH WEIGHTING TF-IDF AND LCS

Authors

  • Munjiah Nur Saadah
  • Rigga Widar Atmagi
  • Dyah S. Rahayu
  • Agus Zainal Arifin

DOI:

https://doi.org/10.21609/jiki.v6i1.216

Keywords:

LCS, Information Retrieval, Tf-Idf

Abstract

Information retrieval of text document requires a method that is able to restore a number of documents that have high relevance according to the user's request. One important step in the process is a text representation of the weighting process. The use of LCS in Tf-Idf weighting adjustments considers the appearance of the same order of words between the query and the text in the document. There is a very long document but irrelevant cause weight produced is not able to represent the value relevance of documents. This research proposes the use of LCS which gives weight to the word order by considering long documents related to the average length of documents in the corpus. This method is able to return a text document effectively. Additional features of word order by normalizing the ratio of the overall length of the document to the documents in the corpus generate values of precision and recall as well as the method of Tasi et al.

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Published

2013-10-21

How to Cite

Saadah, M. N., Atmagi, R. W., Rahayu, D. S., & Arifin, A. Z. (2013). INFORMATION RETRIEVAL OF TEXT DOCUMENT WITH WEIGHTING TF-IDF AND LCS. Jurnal Ilmu Komputer Dan Informasi, 6(1), 34–37. https://doi.org/10.21609/jiki.v6i1.216

Issue

Vol. 6 No. 1 (2013): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Section

Articles

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