3 AI Analytics & NLP Extraction
Draft abstract: this chapter’s core contribution is an AI-Powered Bibliometrics Catalogue – a structured, comparative review of existing AI-enhanced bibliometric and tech-mining tools, organized around two functional axes the rest of the book depends on: support for Technology Readiness Level (TRL) assessment, and support for technology roadmapping.
AI-powered bibliometrics catalogue · tool typology · TRL support · technology roadmapping · semantic clustering
3.1 An AI-Powered Bibliometrics Catalogue: Scope and Method
- Definition: a catalogue of existing AI-enhanced bibliometric and tech-mining tools – not a single proprietary pipeline – assembled and scored against this book’s two functional axes below.
- Axis 1, TRL-support: does the tool surface maturity signals (patent-to-publication ratios, claim-language maturity, funding-stage mentions) usable in the TRL rubric from チャプター 2?
- Axis 2, roadmapping-support: does the tool detect technology trajectories, weak signals, and thematic evolution over time?
- Inclusion criteria: documented methodology, reproducibility, active maintenance. A tool is only described as “AI-powered” in the Catalogue if that is substantiated by its own documentation – not inferred.
The table below is a scaffold. Each row needs a verified, current citation before this chapter goes to review – run a fresh literature/tool search rather than relying on memory, since this landscape moves quickly (e.g. established packages regularly add new AI-assisted modules).
| Tool | Data sources | TRL-support signal | Roadmapping signal | Citation |
|---|---|---|---|---|
| TODO | ||||
| TODO | ||||
| TODO |
3.2 Automated Topic Modeling & Semantic Clustering
- Method choice across catalogued tools (e.g., embedding-based clustering vs. classic LDA) and why it matters for reproducibility.
3.3 Citation Networks, Co-Patenting, and Weak-Signal Detection
- How catalogued tools distinguish a genuine weak signal from noise in a sparse corpus.
3.4 From Retrospective Mapping to Prospective Foresight
- Why bibliometrics alone under-determines “what to build next.”
- Sets up the design layer introduced in
Chapter 3 takes these trajectories and formally aligns them to SDG targets and indicators.