Abstract

The development of electronic Human Resource Management (e- HRM) has provided an opportunity to make decisions on the basis of data, particularly with the assistance of sentiment analysis. The paper presents a full system of examining the emotions and attitudes of the employees towards the company with a sustainability angle. The system combines employee text and number based-data to provide an exhaustive illustration of the behavior of the employees at the workplace. The data is cleaned, important features are extracted and finally models are trained along two distinct paths: one with numbers and one with text. These models are subsequently combined to form one predictive model which produces better results through the use of both kinds of data. Two standard datasets are used to test the system, and the findings demonstrate that the combination of text-based and numerical analysis of HR can be used to identify employee engagement, satisfaction and the possibility of them leaving the company. The approach can assist in developing superior HR practices to facilitate long-term development and intelligent, emotional management of human resources.

Authors

Nasreen Nasar, Saiyed Umer
Aliah University, India

Keywords

e-HRM, HR Analytics, Text-based, Employee Sustainability