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Technology Mining

Technology Mining: Text Analytics for Evidence-Based Foresight

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Technology Mining: Text Analytics for Evidence-Based Foresight

da Hora, Henrique; Porter, Alan L.; Chiavetta, Denise; Zhang, Yi

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.

Details

Published by: Springer

Publication Date: 2026-04-17

Format: Hardcover

ISBN-13: 9783032108487

DOI: 10.1007/978-3-032-10849-4

Dimensions: 235cm x155cm

Pages: 240

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