BOOK-CHAPTER

Natural Language Processing for HR Chatbots and Virtual Assistants

Archana SinghGirish LakheraMegha OjhaAmar Kumar MishraSanjay Kaushik

Year: 2024 Advances in logistics, operations, and management science book series Pages: 369-380   Publisher: Routledge

Abstract

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.

Keywords:
Computer science Artificial intelligence Natural language processing Chatbot Key (lock) Data science

Metrics

5
Cited By
6.30
FWCI (Field Weighted Citation Impact)
12
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Ethics and Social Impacts of AI
Social Sciences →  Social Sciences →  Safety Research
Artificial Intelligence in Healthcare and Education
Health Sciences →  Medicine →  Health Informatics
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