Analysis of Human Resources Attrition: A Thematic and Sentiment Analysis Approach
- DOI
- 10.2991/978-94-6463-136-4_72How to use a DOI?
- Keywords
- artificial intelligence; employee attrition; prediction model; employee sentiment analysis; thematic analysis; natural language processing
- Abstract
In this paper, factors are analyzed for employee attrition to find the main reasons why employees choose to resign and suggested how Artificial Intelligence can be developed to understand and predict future attrition reasons by using thematic and sentiment analysis. The prime objective of study is why people leave the organization and how it can be predicated in advance by using NLP (Natural language processing) AI. Different weights are given for different factors for attrition reasons based on the study conducted for one of the auto-component manufacturing company in Chakan MIDC, Pune, India, high weight factors will be alarming signals for the organizations to be proactive to correct or rectify so that they can avoid attrition. Study can help which valuable employees will leave organization for different reasons in advance. The investigation was done to determine what element had the biggest impact on employee attrition. With the help of the paper, new work policies can be created that benefit both the business organisation and the employee. It might be viewed as a reflection of the employees’ working environments.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Punamkumar Hinge AU - Abhijeet Thakur AU - Harshal Salunkhe PY - 2023 DA - 2023/05/01 TI - Analysis of Human Resources Attrition: A Thematic and Sentiment Analysis Approach BT - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) PB - Atlantis Press SP - 820 EP - 828 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-136-4_72 DO - 10.2991/978-94-6463-136-4_72 ID - Hinge2023 ER -