Artificial Intelligence (AI) in Hrm (Human Resources Management): A Sentiment Analysis Approach
- DOI
- 10.2991/978-94-6463-136-4_47How to use a DOI?
- Keywords
- Human resource management; Artificial intelligence; Human resources challenges; Automation; sentiment analysis; We360.ai application
- Abstract
As a time-saver and matchmaker, artificial intelligence can play a growing role in hiring and selecting. Automation can be used intelligently to increase workplace humanity. It enables you to take exclusively human abilities forward while putting technology in the background. Most people who work in HR do so because they want to interact with people and assist them in finding solutions to their challenges. Where appropriate use of automation can provide them more time to pursue their task and result in careers that are more satisfying. Artificial intelligence (AI) can be used to create job descriptions, promote and share jobs, automate applicant searches, and scan cover letters and resumes. This research paper focuses on how AI can be used in selected areas of HR to improve the human resources management with some leading business entities examples regarding their use cases in AI (Artificial Intelligence) and user sentiment analysis for using We360.ai application.
- 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 - Harshal Salunkhe AU - Mohit Boralkar PY - 2023 DA - 2023/05/01 TI - Artificial Intelligence (AI) in Hrm (Human Resources Management): A Sentiment Analysis Approach BT - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) PB - Atlantis Press SP - 557 EP - 568 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-136-4_47 DO - 10.2991/978-94-6463-136-4_47 ID - Hinge2023 ER -