TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING
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 docum...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2017-02-01
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| Series: | Jurnal Ilmu Komputer dan Informasi |
| Subjects: | |
| Online Access: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/408 |
| _version_ | 1830300203351015424 |
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| author | Rizka Sholikah Dhian Kartika Agus Zainal Arifin Diana Purwitasari |
| author_facet | Rizka Sholikah Dhian Kartika Agus Zainal Arifin Diana Purwitasari |
| author_sort | Rizka Sholikah |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T08:24:47Z |
| format | Article |
| id | doaj.art-186ec9eb397e47e6ac85456f7c5aeb46 |
| institution | Directory Open Access Journal |
| issn | 2088-7051 2502-9274 |
| language | English |
| last_indexed | 2024-12-19T08:24:47Z |
| publishDate | 2017-02-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | Jurnal Ilmu Komputer dan Informasi |
| spelling | doaj.art-186ec9eb397e47e6ac85456f7c5aeb462022-12-21T20:29:20ZengUniversitas IndonesiaJurnal Ilmu Komputer dan Informasi2088-70512502-92742017-02-01101293510.21609/jiki.v10i1.408224TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKINGRizka Sholikah0Dhian Kartika1Agus Zainal Arifin2Diana Purwitasari3Informatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, IndonesiaInformatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, IndonesiaInformatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, IndonesiaInformatics Department, Faculty of Information and Technology, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS Kampus Sukolilo, Surabaya, 60111, IndonesiaQuery 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.http://jiki.cs.ui.ac.id/index.php/jiki/article/view/408Document Ranking, Arabic, Term Weighting, Query, PIFQ |
| spellingShingle | Rizka Sholikah Dhian Kartika Agus Zainal Arifin Diana Purwitasari TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING Jurnal Ilmu Komputer dan Informasi Document Ranking, Arabic, Term Weighting, Query, PIFQ |
| title | TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING |
| title_full | TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING |
| title_fullStr | TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING |
| title_full_unstemmed | TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING |
| title_short | TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING |
| title_sort | term weighting based on positive impact factor query for arabic fiqh document ranking |
| topic | Document Ranking, Arabic, Term Weighting, Query, PIFQ |
| url | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/408 |
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