Hybrid AI Talent Acquisition Model: An Opinion Mining and Topic based approach

Artificial Intelligence models have found their usage in the human resource domain. In this paper, job reviewers' opinions on online discussion boards have been captured. The relative importance of factors has been established through an extensive literature review. First, LDA Topic modelling by adopting PCA is performed on unstructured text data has been analyzed. Second, sentiment analysis using the Li-Hu method has been employed to understand job seekers' satisfaction with job portals. The proposed model, “Hybrid AI Talent Acquisition Model,” follows a novel approach to streamlining the jobseeker opinion related to online outlets.