Natural Language Processing for HR Chatbots and Virtual Assistants
Archana Kumari Singh, Girish Lakhera, Megha Ojha, Amar Kumar Mishra, Sanjay Kaushik · Advances in logistics, operations, and management science book series · 2024
The purpose of this study is to explore fundamental NLP concepts, key techniques, and application across various HR processes. It addresses the challenges and limitations faced by NLP-driven HR chatbots and virtual assistants while presenting real-world success stories from leading organizations. The data for the present study was collected through secondary data formation from different articles and research papers available. To develop a theoretical framework, the literature on NLP, HR technology, and EHRM operations will be reviewed. This chapter underscores the significant role of NLP in transforming HR chatbots and virtual assistants. However, to fully harness the potential of NLP in HR applications, it is crucial to address challenges and adopt ethical practices. Moreover, the chapter delves into the future prospects of NLP in HR, considering advancements in NLP technology and its potential fusion with emerging technologies like machine learning and conversational AI.