Exploring Recent Advances and Applications Across Sectors: A Natural Language Processing Perspective

Author:

Rajchandar K.,Praveena A.,Patil Shripada,Dangare Gururaj,Udhayakumar R.ORCID,Fatma Gulnaz

Publisher

Springer Nature Singapore

Reference22 articles.

1. Kang, Y., Cai, Z., Tan, C.W., Huang, Q., Liu, H.: Natural language processing (NLP) in management research: a literature review. J. Manage. Anal. 7(2), 139–172 (2020)

2. Bahja, M.: Natural language processing applications in business. E-Bus.-High Educ. Intell. Appl. (2020)

3. Torfi, A., Shirvani, R.A., Keneshloo, Y., Tavaf, N., Fox, E.A.: Natural language processing advancements by deep learning: a survey (2020). arXiv preprint arXiv:2003.01200

4. Lauriola, I., Lavelli, A., Aiolli, F.: An introduction to deep learning in natural language processing: models, techniques, and tools. Neurocomputing 470, 443–456 (2022)

5. Khurana, D., Koli, A., Khatter, K., Singh, S.: Natural language processing: state of the art, current trends and challenges. Multimedia Tools Appl. 82(3), 3713–3744 (2023)

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