
Technology Mining : Text Analytics for Evidence-Based Foresight
by Henrique da Hora
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ISBN: 3032108489 • Publisher: Springer Nature Switzerland • Year: 2026
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[color=#ff5555]📂 Category: Business, Computer Technology, Technology, Nonfiction
[color=#55acee]🌐 Language: English
[color=#44bb44]📄 Pages: 245
[color=#ff9900]📋 INFO: English | 25 January 2026 | ISBN-10: 3032108489 | 240 pages| Epub PDF (True) | 41 MB
[color=#888888]📝 DESCRIPTION: 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.
[color=#ff9900]📦 Download Info
Folder: Technology Mining Text Analytics For Evidence Based Foresight
Format: EPUB
Total Size: 41.98 MB
📋 File List:
[size=2]
📌 978-3-032-10849-4.epub (Henrique da Hora) (2026) (29.3 MB)
📌 978-3-032-10849-4.pdf (Henrique da Hora) (2026) (11.68 MB)
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