使用投诉概念本体的马来语投诉领域特定分类

Shaiful Bakhtiar bin Rodzman, Siti Suhaima binti Suhaili, N. K. Ismail, Nurazzah Abd Rahman, S. A. Aljunid, Aslida binti Omar
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引用次数: 1

摘要

使用者的投诉是识别机构所提供的服务和设施质量的有效方法。响应用户投诉的效率也取决于有效的工作流程。有了有效的方法和工作流程,管理层为改善服务和设施的质量而采取的行动就可以立即有效地完成。其中一种方法是对投诉进行分类,隔离相关投诉。本文介绍了将马来语投诉概念本体作为分类规则的应用与信息检索系统的BM25模型相结合的分类系统的实现。实验结果表明,基于语义的马来语本体元素可以提高马来语投诉书的分类效率。结果表明,与BM25原始评分相比,本文提出的分类器在四个类别中产生了更好的结果,而BM25原始评分仅在一个类别中产生了更好的结果。OBMCS在召回率、精度和F-measure指标的所有8个类别中都优于LDA模型。调查结果证明,拟议的制度非常有用,特别是对马来人关于领域内文件分类的投诉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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