TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING
Abstract: Query becomes one of
the most decisive factor on documents searching. A query contains several
words, where one of them will become a key term. Key term is a word that has
higher information and value than the others in query. It can be used in any
kind of text documents, including Arabic Fiqh documents. Using key term in term
weighting process could led to an improvement on result’s relevancy. In Arabic
Fiqh document searching, not using the proper method in term weighting will
relieve important value of key term. In this paper, we propose a new term
weighting method based on Positive Impact Factor Query (PIFQ) for Arabic Fiqh
documents ranking. PIFQ calculated using key term’s frequency on each category
(mazhab) on Fiqh. The key term that frequently appear on a certain mazhab will
get higher score on that mazhab, and vice versa. After PIFQ values are
acquired, TF.IDF calculation will be done to each words. Then, PIFQ weight will
be combine with the result from TF.IDF so that the new weight values for each
words will be produced. Experimental result performed on a number of queries
using 143 Arabic Fiqh documents show that the proposed method is better than
traditional TF.IDF, with 77.9%, 83.1%, and 80.1% of precision, recall, and
F-measure respectively.
Author: Rizka Sholikah, Dhian
Kartika, Agus Zainal Arifin, Diana Purwitasari
Journal Code: jptkomputergg170005
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