Category: ST&I indicators
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Technological Emergence and Military Technology Innovation
To what extent is military technology innovation emergent? This study answers this question by applying an emergence detection algorithm to roughly 300,000 technical terms extracted from military technology patents granted from 1980 to 2019. Emergence – instances of sudden and rapid growth of a technical term within the military patent corpus – is found to…
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Integrative model for discovering linked topics in science and technology
Highlights• The science and technology semantic linkage integration model improves the identification of linked topics in science and technology (LTSTs). • Simple fusion and link prediction form a twofold model to identify topics and implicit semantics. • Term co-occurrence networks of basic and applied research are fused. • The fusion expands topic networks and enhances…
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Combining topic modeling and SAO semantic analysis to identify technological opportunities of emerging technologies
A hybrid approach to extract technical intelligence for technological opportunities analysis. To blend topic modeling, SAO semantic analysis and machine learning. An optimized LDA-based topic extraction model with high accuracy. A case study on dye-sensitized solar cell. With the advancement of science and the emergence of new technologies, technology opportunities analysis has attracted increasing attention…
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Identification of topic evolution: network analytics with piecewise linear representation and word embedding
Understanding the evolutionary relationships among scientific topics and learning the evolutionary process of innovations is a crucial issue for strategic decision makers in governments, firms and funding agencies when they carry out forward-looking research activities. However, traditional co-word network analysis on topic identification cannot effectively excavate semantic relationship from the context, and fixed time window…