机器学习授权人格预测系统包含

Sanchit Shahi, Rishabh Gautam Shahi, M.Anil Kumar
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引用次数: 0

摘要

当今的企业界不仅关注潜在员工的技能,还关注他们各自的个性。个性可以帮助你在职业和个人生活中取得成功。因此,招聘人员需要了解一个人的个性特征。虽然求职者的数量呈指数级增长,但职位的数量却在减少,因此很难通过查看简历来手动将合适职位的最佳候选人添加到候选人列表中。本文探讨了各种机器学习方法,通过使用自然语言处理(NLP)技术来有效地预测个性。结果表明,随机森林算法比KNN、SVM和朴素贝叶斯算法具有更高的准确率。该系统可用于许多可能需要专业候选人的业务领域/领域。该系统减少了部门(一般工人、就业、培训和解雇部门)的工作量。
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Machine Learning Empowered Personality Predication System Encompassing
Today's corporate world focuses not only on the set of skills of the potential employees, but also on their respective personality. Personality helps you succeed in both your professional and personal life. Therefore, recruiters need to be aware of an individual's personality trait. While the number of job seekers is increasing exponentially, the number of positions is declining, making it difficult to manually add the best candidate for the right position to the candidate list by looking at your resume. This article explores a variety of machine learning approaches to efficiently predict the personality by the usage of Natural language processing (NLP) technology. The results showcase that Random-forest achieves higher accuracy than several other algorithms i.e. KNN, SVM and Naive Bayes. This system can be used in many business areas / areas that may require professional candidates. This system reduces the workload of the department (general workers, employment, and training and dismissal department).
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