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The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89\u201491% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters. <\/jats:p>","DOI":"10.1177\/0165551506076401","type":"journal-article","created":{"date-parts":[[2007,6,15]],"date-time":"2007-06-15T00:34:38Z","timestamp":1181867678000},"page":"660-677","source":"Crossref","is-referenced-by-count":19,"title":["Identifying synonymous concepts in preparation for technology mining"],"prefix":"10.1177","volume":"33","author":[{"given":"Cherie","family":"Courseault Trumbach","sequence":"first","affiliation":[{"name":"Department of Management, University of New Orleans, New Orleans, USA,"}]},{"given":"Dinah","family":"Payne","sequence":"additional","affiliation":[{"name":"Department of Management, University of New Orleans, New Orleans, USA"}]}],"member":"179","published-online":{"date-parts":[[2007,12,1]]},"reference":[{"key":"atypb1","volume-title":"Exploiting New Technologies for Competitive Advantage","author":"A.L. 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