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Classification of Governer's Public Report from SMS LaporGub Using Naive Bayes Classifier Method

机译:使用朴素贝叶斯分类器方法对SMS LaporGub的管理者公开报告进行分类

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Freedom to express people's feeling like complaint is one effort from a governor to improve a public service in Central Java Province. By knowing all complaints from people and sometimes they give some suggestions, it able to make better performance government in various aspects such as infrastructure, criminal, healthy, etc. To execute this effort, government establish a “SMS LaporGub” service which able to become an interaction and a communication media that hold all complaints that occur in public. It is already execute well and increase some performance in many aspects. The existence of a wide variety of complaints and high number of reports makes manual analysis becomes ineffective. It needed an automatic classification to classify and analyse the report based on its types. So administrator easy to handle those reports, prevent delay handling for urgent reports to be discussed. This study using classification method especially Naïve Bayes Classifier method.
机译:自由表达人们的抱怨感是州长为改善中爪哇省的公共服务所做的一项努力。通过了解人们的所有投诉,有时他们会提供一些建议,它可以使政府在基础设施,犯罪,健康等各个方面表现更好。为了执行此努力,政府建立了“ SMS LaporGub”服务,该服务可以成为互动和沟通媒体,可以处理所有公开发生的投诉。它已经执行良好,并在许多方面提高了一些性能。各种各样的投诉和大量报告的存在使手动分析变得无效。它需要自动分类以根据报告的类型对报告进行分类和分析。因此,管理员可以轻松地处理那些报告,避免延迟处理要讨论的紧急报告。本研究使用分类方法,尤其是朴素贝叶斯分类器方法。

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