Getting Patents And Economic Data To Speak To Each Other An Algorithmic Links With Probabilities Approach For Joint Analyses Of Patenting And Economic Activity

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Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity

Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity
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Publisher : WIPO
Total Pages : 32
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Book Synopsis Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity by : Travis J. Lybbert

Download or read book Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity written by Travis J. Lybbert and published by WIPO. This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This ‘Algorithmic Links with Probabilities’ (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns.


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The authors propose an ‘Algorithmic Links with Probabilities’ (ALP) approach to match Trademarks (TMs) data to economic data and enable these data to speak