Shaiful Bakhtiar bin Rodzman, Siti Suhaima binti Suhaili, N. K. Ismail, Nurazzah Abd Rahman, S. A. Aljunid, Aslida binti Omar
{"title":"使用投诉概念本体的马来语投诉领域特定分类","authors":"Shaiful Bakhtiar bin Rodzman, Siti Suhaima binti Suhaili, N. K. Ismail, Nurazzah Abd Rahman, S. A. Aljunid, Aslida binti Omar","doi":"10.1145/3316615.3316682","DOIUrl":null,"url":null,"abstract":"The complaint from users is an effective method to identify the quality of services and facilities provided by an organization. The efficiency to respond to users' complaint also depends on an effective workflow. By having an effective method and workflow, the action taken by the management to improve the quality of services and facilities can be done immediately and effectively. One of the ways is by classifying the complaints that will isolate related complaints. This paper presents the implementation of the classification system that combines the application of Complaint Concept Ontologies in Malay language as classifier rules with the BM25 model of Information Retrieval system. Experiments showed the semantic based elements such as Malay ontology may bring the improvement of the classification of the Malay Complaint. The result yielded showed that the proposed classifier produced better result in four category compared to BM25 original score that only produced better result in one category. OBMCS also outperformed the LDA model in all eight categories on the Recall, Precision and F-measure metrics. The finding proven the proposed system is very useful, especially to the Malay complaint in regards of classification for documents in the domain area.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Domain Specific Classification of Malay Based Complaints using the Complaint Concept Ontologies\",\"authors\":\"Shaiful Bakhtiar bin Rodzman, Siti Suhaima binti Suhaili, N. K. Ismail, Nurazzah Abd Rahman, S. A. Aljunid, Aslida binti Omar\",\"doi\":\"10.1145/3316615.3316682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The complaint from users is an effective method to identify the quality of services and facilities provided by an organization. The efficiency to respond to users' complaint also depends on an effective workflow. By having an effective method and workflow, the action taken by the management to improve the quality of services and facilities can be done immediately and effectively. One of the ways is by classifying the complaints that will isolate related complaints. This paper presents the implementation of the classification system that combines the application of Complaint Concept Ontologies in Malay language as classifier rules with the BM25 model of Information Retrieval system. Experiments showed the semantic based elements such as Malay ontology may bring the improvement of the classification of the Malay Complaint. The result yielded showed that the proposed classifier produced better result in four category compared to BM25 original score that only produced better result in one category. OBMCS also outperformed the LDA model in all eight categories on the Recall, Precision and F-measure metrics. The finding proven the proposed system is very useful, especially to the Malay complaint in regards of classification for documents in the domain area.\",\"PeriodicalId\":268392,\"journal\":{\"name\":\"Proceedings of the 2019 8th International Conference on Software and Computer Applications\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 8th International Conference on Software and Computer Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3316615.3316682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3316615.3316682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Domain Specific Classification of Malay Based Complaints using the Complaint Concept Ontologies
The complaint from users is an effective method to identify the quality of services and facilities provided by an organization. The efficiency to respond to users' complaint also depends on an effective workflow. By having an effective method and workflow, the action taken by the management to improve the quality of services and facilities can be done immediately and effectively. One of the ways is by classifying the complaints that will isolate related complaints. This paper presents the implementation of the classification system that combines the application of Complaint Concept Ontologies in Malay language as classifier rules with the BM25 model of Information Retrieval system. Experiments showed the semantic based elements such as Malay ontology may bring the improvement of the classification of the Malay Complaint. The result yielded showed that the proposed classifier produced better result in four category compared to BM25 original score that only produced better result in one category. OBMCS also outperformed the LDA model in all eight categories on the Recall, Precision and F-measure metrics. The finding proven the proposed system is very useful, especially to the Malay complaint in regards of classification for documents in the domain area.