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Personality Classification System using Data Mining

机译:使用数据挖掘的人格分类系统

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Personality is one feature that determines how people interact with the outside world. Personality can be defined as a necessary element of a person’s behavior. The way people interact with other people determines their personality. This paper covers the topic of Automated Personality Classification – a system that analyses the personality of a user based on certain features using Data Mining Algorithms. In this paper, a system is proposed which analyses the personality of an applicant. This system will be helpful for organizations as well as other agencies who would be recruiting applicants based on their personality rather than their technical knowledge. The personality prediction results are based on Big Five Personality traits and the classification is done using Naïve Bayes Algorithm and Support Vector Machine.
机译:人格是决定人们如何与外界互动的一项功能。人格可以定义为一个人行为的必要元素。人们与他人互动的方式决定了他们的个性。本文涵盖了“自动人格分类”这一主题,该系统使用数据挖掘算法基于某些功能来分析用户的人格。本文提出了一种分析求职者人格的系统。该系统将对将根据其性格而不是其技术知识来招募申请人的组织以及其他机构有所帮助。人格预测结果基于五种人格特征,并使用朴素贝叶斯算法和支持向量机进行分类。

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