Publication:
Analyzing Malay Stemmer Performance towards Fuzzy Logic Ranking Function on Malay Text Corpus

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dc.ConferencecodeIEEE, PECAMP, Ctr Appl Data Sci, SAS, Power Know, ANSISystems, SABAH, Univ Putra Malaysia, Univ Kebangsaan Malaysia, Univ Malaysia Sabah, Univ Malaysia Sarawak, Int Islamic Univ Malaysia, UTHM, Al Madinah Int Univ, Univ Teknologi Mara, Univ Malaysia, Asia Pacific Univ Technol & Innovation
dc.ConferencedateMAR 26-28, 2018
dc.ConferencelocationSabah, MALAYSIA
dc.Conferencename4th International Conference on Information Retrieval and Knowledge Management (CAMP)
dc.contributor.authorRodzman, SBen_US
dc.contributor.authorRonie, MFIAen_US
dc.contributor.authorIsmail, NKen_US
dc.contributor.authorAbd Rahman, Nen_US
dc.contributor.authorAhmad, Fen_US
dc.contributor.authorNor, ZMen_US
dc.date.accessioned2024-05-29T02:52:16Z
dc.date.available2024-05-29T02:52:16Z
dc.date.issued2018
dc.description.abstractIn a way to make the result of Information Retrieval (IR) more accurate, a stemmer is needed to differentiate the words in searching useful information. This research aims to analyze both processing speed and accuracy of the Malay Language Stemmer such as Fatimah Stemmer and UniSZA Stemmer. This research will also compare the performance of Fuzzy Logic Ranking Function using the both stemmer. Evaluation of Recall and Precision using the relevant judgement list by the expert. The results presented UniSZA Stemmer clearly dominated the Fatimah Stemmer processing speed performance with faster times recorded in each set of the experiment, however, in term of accuracy, unfortunately Fatimah Stemmer has clearly dominated the UniSZA stemming accuracy performance with having much more correct stemmed words for each set of the experiment. The results also showed that Fuzzy Logic Ranking with Fatimah Stemmer has outperformed Fuzzy Logic Ranking with UniSZA Stemmer and English Porter Stemmer on 5 out of 8 Topic Set of query results on the Mean Average Precision measure. Fuzzy Logic Ranking with Fatimah Stemmer also gets the best result on the Precision at Rank 10, Mean Average Precision and the percentage of no relevant document in the top ten retrieved measures, on the topic that has most queries which is topic 'Umum' that has a total of 11 queries.
dc.identifier.epage41
dc.identifier.issn2326-5930
dc.identifier.scopusWOS:000454828400007
dc.identifier.spage36
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11290
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 Fourth International Conference On Information Retrieval And Knowledge Management (Camp)
dc.sourceWeb Of Science (ISI)
dc.subjectFuzzy Logicen_US
dc.subjectRanking Functionen_US
dc.subjectMalay Text Corpusen_US
dc.subjectMalay Stemmeren_US
dc.subjectFatimah Stemmeren_US
dc.subjectUniSZA Stemmeren_US
dc.titleAnalyzing Malay Stemmer Performance towards Fuzzy Logic Ranking Function on Malay Text Corpusen_US
dspace.entity.typePublication

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