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

被引:185
|
作者
Kang, Yue [1 ]
Cai, Zhao [2 ]
Tan, Chee-Wee [3 ]
Huang, Qian [1 ]
Liu, Hefu [1 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China
[2] Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, Ningbo, Peoples R China
[3] Copenhagen Business Sch, Dept Digitalizat, Copenhagen, Denmark
基金
中国国家自然科学基金;
关键词
natural language processing; literature review; sentiment analysis; machine learning; SOCIAL MEDIA; TEXTUAL ANALYSIS; SEARCH ENGINES; SENTIMENT; IMPACT; INFORMATION; ADAPTATION; ANALYTICS; EVOLUTION; PATTERNS;
D O I
10.1080/23270012.2020.1756939
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 management research, there is neither a comprehensive review of extant literature on such applications, nor is there a detailed walkthrough on how it can be employed as an analytical technique. To this end, we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple disciplines. We describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and disadvantages. In so doing, we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.
引用
收藏
页码:139 / 172
页数:34
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