Development of SaaS Software for Talent Acquisition Using Natural Language Processing and Text Mining Algorithms

TalentNet成立于2013年，是一个致力于临时劳动力直接采购市场的平台。在TalentNet的领导下，直接招聘市场已经发展成为临时工市场中增长最快的趋势之一。TalentNet专注于弥合人才获取、临时劳动力、零工经济和人力云之间的差距。本项目的目标是开发一个用于人才获取的SaaS软件平台。该项目依赖于自然语言处理（NLP）和文本挖掘算法来识别候选人简历中的关键词，并将其与招聘启事中的关键词进行比较。为了成功地开发这个SaaS平台，必须进行数据准备，以确定关键字并创建新变量。研究人员将与TalentNet团队合作，寻找和测试新的AI/ML算法，以改进现有软件，并确定每个职位空缺的主要和次要资格，以便从每个申请人中确定最合格的候选人。将SaaS软件平台成功开发为TalentNet现有平台，将使客户能够确定最适合其职位空缺的候选人。预计人才获取的改善将直接转化为就业的增加，并减少审查和面试不合格候选人的时间。反过来，这将降低招聘成本，增加职位的填补时间。这种改进的软件也有可能提高雇主和员工的工作满意度。此外，成功地将合适的候选人与工作职位匹配的能力将为TalentNet带来额外的收入。这将有助于公司的持续增长，并在竞争对手不断涌现的情况下巩固其在行业中的市场领导地位。

TalentNet, founded in 2013, is a platform dedicated to the contingent labour direct sourcing marketplace. Through TalentNet's leadership, the direct sourcing marketplace has evolved into one of the fastest-growing trends in the contingent labour marketplace. TalentNet is focused on bridging the gap between talent acquisition, contingent labour, the gig economy, and the human cloud. The objective of this project is to develop a SaaS software platform for talent acquisition. This project depends on natural language process (NLP) and text mining algorithms to identify keywords within candidates' resumes and compares them to the keywords within the job posting. In order to successfully develop this SaaS platform, data preparation will have to take place to identify keywords and create new variables. Researchers will work with the TalentNet team to find and test new AI/ML algorithms that will improve the existing software, and identify primary and secondary qualifications for each job opening so that the most qualified candidates are identified from each applicant pool. The successful development of a SaaS Software platform into TalentNet existing platform will allow clients to identify the most suitable candidates for their job openings. It is anticipated that the improved talent acquisition will directly translate to increased employment, and reduced time spent reviewing and interviewing unqualified candidates. In turn, this will lower recruiting costs and increase fill times of positions. This improved software also has the potential to increase both employer and employee job satisfaction. Further, the ability to successfully match suitable candidates to job positions will lead to additional revenue for TalentNet. This will contribute to the company's continued growth and solidify its market leadership in the industry as competitors continue to emerge.