Intelligent text analysis using natural language processing for competency-based recruitment

使用自然语言处理进行智能文本分析以进行基于能力的招聘

• 批准号: 531384-2018
• 负责人: Gulliver, Aaron
• 金额: $ 1.82万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=652657
• 关键词: Intelligent; text; analysis; using; natural

The main focus of the project is the development of a text classification and natural language processing**framework for an innovative recruiting software platform developed by SkyHive Technologies Inc. (partner**company). This will involve machine-based analysis of text to automatically identify competencies from job**applications according to extracted keywords and the context of surrounding words. The partner company has**developed a skills-based platform to increase the efficiency and reliability of the recruiting process. This**platform can be used by workers and employers to find the best matches according to job advertisements and**candidate skills. It processes advertisements and decomposes them into the required skills and categorizes**candidate profiles according to their skills. Machine learning is then performed to provide matching results.**This allows candidates to identify opportunities in near real-time as opposed to days, weeks or even months**with conventional approaches, and makes the hiring process rewarding for platform users as it is fast and**cost-effective. The platform also recommends training programs to workers according to targeted skill**development. Although employers can use the platform to identify candidates based on skill matching, finding**competency-matching results is unmanageable due to the complexity of tasks that must be performed on the**applications. This reduces the platform utility, and negatively impacts the matching rate. This project will**enable the platform to provide competency-based recommendations to employers based on text classification**matches between job descriptions and user profiles created on the system. For example, an employer who seeks**core competencies such as relationships, innovation, leadership, risk-taking, and decision-making will**automatically be notified of all active related applicants. Further, the salary levels for particular positions will**be determined and matched with the salary expectations of candidates. This project will greatly improve the**quality of the skills-based recruitment and increase user engagement within the platform.

该项目的主要重点是为SkyHive Technologies Inc.开发的创新招聘软件平台开发文本分类和自然语言处理框架。（合作伙伴 ** 公司）。这将涉及基于机器的文本分析，以根据提取的关键字和周围单词的上下文自动识别求职申请中的能力。合作伙伴公司 ** 开发了一个基于技能的平台，以提高招聘流程的效率和可靠性。工人和雇主可以使用这个 ** 平台根据招聘广告和 ** 候选人技能找到最佳匹配。它处理广告，并将其分解为所需的技能，并根据他们的技能对候选人进行分类。然后执行机器学习以提供匹配结果。**这使候选人能够近乎实时地识别机会，而不是传统方法的几天，几周甚至几个月 **，并使招聘过程对平台用户来说是有益的，因为它是快速和具有成本效益的。该平台还根据有针对性的技能发展向工人推荐培训计划。虽然雇主可以使用该平台根据技能匹配来识别候选人，但由于必须在 ** 应用程序上执行的任务的复杂性，查找 ** 能力匹配结果是无法管理的。这降低了平台效用，并对匹配率产生负面影响。该项目将 ** 使该平台能够根据职位说明与系统上创建的用户配置文件之间的文本分类 **，向雇主提供基于能力的建议。例如，一个雇主寻求 ** 核心能力，如关系，创新，领导力，风险承担和决策将 ** 自动通知所有活跃的相关申请人。此外，特定职位的薪金水平将 ** 确定，并与候选人的薪金期望相匹配。该项目将大大提高基于技能的招聘的质量，并增加平台内的用户参与度。