Technology Mining: Text Analytics for Evidence-Based Foresight
Global TechMining Conference (other), Henrique Rego Monteiro da Hora (editor-in-chief), Alan L. Porter (editor-in-chief), Denise Chiavetta (editor-in-chief), Yi Zhang (editor-in-chief)
Hardback Published on: 17/04/2026
Price: £109.99
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Synopsis
Tech mining is text-oriented analytics that supports decision-making in science, technology, and innovation (ST&I) policy and management in areas including competitive technical intelligence, R&D management, and research evaluation. Presenting selected papers from the 12th Global TechMining Conference (GTM2022), this book covers novel digital information sources such as optimization and integration of 360-degree view in science, economic, political, and social domains; processing methods that accelerate and optimize procedures involving human expertise, such as Delphi; and visualizations and other outputs such as data visualization to provide better communication of research findings.
*Technology Mining: Text-Analytics for Evidence-Based Foresight* is an essential guide for a cross-disciplinary network of ST&I policy analysts, software specialists, researchers, technology managers, and students to further advance and adopt textual information in multiple scientific, technology, and business development fields.
Publisher information
- Publisher: Springer Nature Switzerland
- ISBN: 9783032108487
- Number of pages: 240
- Dimensions: 235 x 155 x 235 mm
- Weight: 536g
- Languages: English
