Author: VPInstitute
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Evaluating technological emergence using text analytics: two case technologies and three approaches (FULL-TEXT)
Scientometric methods have long been used to identify technological trajectories, but we have seldom seen reproducible methods that allow for the identification of a technological emergence in a set of documents. This study evaluates the use of three different reproducible approaches for identifying the emergence of technological novelties in scientific publications. The selected approaches are…
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Long term prevention and vector control of arboviral diseases: What does the future hold? (FULL-TEXT)
Arboviral diseases are a global growing problem due to climate change, urbanization, population density, and global transportation. However, new technologies currently being developed in research labs are expected to play a relevant role in combatting arboviral diseases in the future, reducing the health and economic burden imposed by these diseases. This paper aims to anticipate…
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Collaborative networks in gene editing
Over 15,000 articles and reviews published since 2000 were collected, with genome editing-related queries in the Web of Science (Table 1 and Supplemental Table S1). We use tech mining to investigate the underlying patterns that drive the adoption of genome editing, proposing an integrated research framework with bibliometrics, text analyses, and network analysis to analyze…
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Application of Text-Analytics in Quantitative Study of Science and Technology
The quantitative study of science, technology and innovation (ST&I ) has experienced significant growth with advancements in disciplines such as mathematics, computer science and information sciences. From the early studies utilizing the statistics method, graph theory, to citations or co-authorship, the state of the art in quantitative methods leverages natural language processing and machine learning.…