This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals,
604 128 3MB
English Pages 146 Year 2016
Table of contents :
Content: Cover
Contents
List of Figures
List of Tables
List of Scripts, Examples, and Outputs
Preface
Acknowledgments
Chapter 1: Tech Mining Using Open Source Tools
Chapter 2: Python Installation
Chapter 3: Python Basics for Text Mining
Chapter 4: Sources of Science and Technology Information
Chapter 5: Parsing Collected Data
Chapter 6: Parsing Tree-Structured Files
Chapter 7: Extracting and Reporting on Text
Chapter 8: Indexing and Tabulating the Data
Conclusions
References
Index
Adpage
Backcover.