基于数据挖掘的人格分类系统

Sandhya Katiyar, Himdweep Walia, S. Kumar
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引用次数: 4

摘要

性格是决定人们如何与外界互动的一个特征。个性可以被定义为一个人的行为的必要元素。人们与其他人互动的方式决定了他们的个性。本文讨论了自动人格分类——一个使用数据挖掘算法基于某些特征分析用户人格的系统。本文提出了一个应聘者性格分析系统。这一制度将有助于组织和其他机构根据申请人的个性而不是他们的技术知识来招聘申请人。人格预测结果基于五大人格特征,分类使用Naïve贝叶斯算法和支持向量机完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personality Classification System using Data Mining
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.
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