Searching Malay text using stemming algorithm
Stemming is an important process to improve performance of a search engine by reducing the variant word forms to common forms. This paper evaluates the retrieval effectiveness of stemming algorithm in searching and retrieving relevant Malay web pages based on user natural query words. The retrieved...
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| Format: | Article |
| Language: | English |
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Universiti Utara Malaysia Press
2004
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| Online Access: | https://repo.uum.edu.my/id/eprint/2304/1/jict327.pdf |
| _version_ | 1803624454739197952 |
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| author | Saian, Rizauddin Ku-Mahamud, Ku Ruhana |
| author_facet | Saian, Rizauddin Ku-Mahamud, Ku Ruhana |
| author_sort | Saian, Rizauddin |
| collection | UUM |
| description | Stemming is an important process to improve performance of a search engine by reducing the variant word forms to common forms. This paper evaluates the retrieval effectiveness of stemming algorithm in searching and retrieving relevant Malay web pages based on user natural query words. The retrieved web pages are weighted and ranked using inverse document frequency function. The retrieval effectiveness is measured using standard recall and precision. Experiments performed show that searching with stemming improves retrieval effectiveness when compared to searching without stemming algorithm. |
| first_indexed | 2024-07-04T05:18:38Z |
| format | Article |
| id | uum-2304 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:18:38Z |
| publishDate | 2004 |
| publisher | Universiti Utara Malaysia Press |
| record_format | dspace |
| spelling | uum-23042013-01-16T04:32:50Z https://repo.uum.edu.my/id/eprint/2304/ Searching Malay text using stemming algorithm Saian, Rizauddin Ku-Mahamud, Ku Ruhana QA76 Computer software Stemming is an important process to improve performance of a search engine by reducing the variant word forms to common forms. This paper evaluates the retrieval effectiveness of stemming algorithm in searching and retrieving relevant Malay web pages based on user natural query words. The retrieved web pages are weighted and ranked using inverse document frequency function. The retrieval effectiveness is measured using standard recall and precision. Experiments performed show that searching with stemming improves retrieval effectiveness when compared to searching without stemming algorithm. Universiti Utara Malaysia Press 2004-12 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2304/1/jict327.pdf Saian, Rizauddin and Ku-Mahamud, Ku Ruhana (2004) Searching Malay text using stemming algorithm. Journal of Information and Communication Technology, 3 (2). pp. 107-117. ISSN 2180-3862 http://jict.uum.edu.my/index.php?option=com_phocadownload&view=category&id=6:jict-vol.-3-num.-2-dec-2004 |
| spellingShingle | QA76 Computer software Saian, Rizauddin Ku-Mahamud, Ku Ruhana Searching Malay text using stemming algorithm |
| title | Searching Malay text using stemming algorithm |
| title_full | Searching Malay text using stemming algorithm |
| title_fullStr | Searching Malay text using stemming algorithm |
| title_full_unstemmed | Searching Malay text using stemming algorithm |
| title_short | Searching Malay text using stemming algorithm |
| title_sort | searching malay text using stemming algorithm |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/2304/1/jict327.pdf |
| work_keys_str_mv | AT saianrizauddin searchingmalaytextusingstemmingalgorithm AT kumahamudkuruhana searchingmalaytextusingstemmingalgorithm |