Comparing methods to extract technical content for technological intelligence
| Title: | Comparing methods to extract technical content for technological intelligence |
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| Format: | Journal Article |
| Publication Date: | 2014 |
| Published In: | Journal of Engineering and Technology Management - JET-M |
| Description: | We are developing indicators for the emergence of science and technology (S&T) topics. To do so, we extract information from various S&T information resources. This paper compares alternative ways of consolidating messy sets of key terms [e.g., using Natural Language Processing on abstracts and titles, together with various keyword sets]. Our process includes combinations of stopword removal, fuzzy term matching, association rules, and term commonality weighting. We compare topic modeling to Principal Components Analysis for a test set of 4104 abstract records on Dye-Sensitized Solar Cells. Results suggest potential to enhance understanding regarding technological topics to help track technological emergence. © 2013 Elsevier B.V. |
| Ivan Allen College Contributors: | |
| Citation: | Journal of Engineering and Technology Management - JET-M. 32. 97 - 109. ISSN 0923-4748. DOI 10.1016/j.jengtecman.2013.09.001. |
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