Natural language processing (NLP) in management research: A literature review

By Yue Kang, Zhao Cai, Chee‐Wee Tan, Qian Huang, Hefu Liu. Journal of Management Analytics, 2020

454 citations recorded by the source corpus.

Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language. Yet, despite its extensive application in manage...

Subfields: Artificial Intelligence, General Social Sciences, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/db528269ef800727245c0fcb35b692d29c1ccdc9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nader Tavvaf
2. Edward A. Fox
3. Diksha Khurana
4. Sukhdev Singh
5. Yaser Keneshloo
6. Aditya Koli
7. Kiran Khatter
8. Rouzbeh A. Shirvani

Citations in the corpus

• Natural language processing: state of the art, current trends and challenges (2017, background): “(2020) [63] for detailed literature survey and technological challenges relevant to management research and NLP, and a recent review work by Alshemali and Kalita (2020) [3], and references cited there in.”
• Natural Language Processing Advancements By Deep Learning: A Survey (2020, background): “More recent works [4], [27] are specific to certain applications or certain sub-fields of NLP [21].”