The application of text mining methods in innovation research: current state, evolution patterns, and development priorities

Volume: 50, Issue: 3, Pages: 329 - 351
Published: Apr 21, 2020
Abstract
Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility, and relevance for research on innovation and beyond. While traditional attempts to analyze text (i.e., qualitative analysis) are limited in processing large amounts of data, text mining presents a set of approaches that allow researchers to explore large‐scale collections of texts in an efficient manner. Given the potential of text mining as a method...
Paper Details
Title
The application of text mining methods in innovation research: current state, evolution patterns, and development priorities
Published Date
Apr 21, 2020
Volume
50
Issue
3
Pages
329 - 351
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