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A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia. <i>Socio-Economic Planning Sciences</i>. 2018;61:70-89. doi:<a href=\"https://doi.org/10.1016/j.seps.2016.09.003\">10.1016/j.seps.2016.09.003</a>","bibtex":"@article{Tavana_Ebrahimnejad_Santos-Arteaga_Mansourzadeh_Matin_2018, title={A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia}, volume={61}, DOI={<a href=\"https://doi.org/10.1016/j.seps.2016.09.003\">10.1016/j.seps.2016.09.003</a>}, journal={Socio-Economic Planning Sciences}, publisher={Elsevier BV}, author={Tavana, Madjid and Ebrahimnejad, Ali and Santos-Arteaga, Francisco J. and Mansourzadeh, Seyed Mehdi and Matin, Reza Kazemi}, year={2018}, pages={70–89} }","apa":"Tavana, M., Ebrahimnejad, A., Santos-Arteaga, F. J., Mansourzadeh, S. M., &#38; Matin, R. K. (2018). 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Machine learning and natural language processing on the patent corpus: Data, tools, and new measures. <i>Journal of Economics &#38; Management Strategy</i>. 2018;27(3):535-553. doi:<a href=\"https://doi.org/10.1111/jems.12259\">10.1111/jems.12259</a>","bibtex":"@article{Balsmeier_Assaf_Chesebro_Fierro_Johnson_Johnson_Li_Lück_O’Reagan_Yeh_et al._2018, title={Machine learning and natural language processing on the patent corpus: Data, tools, and new measures}, volume={27}, DOI={<a href=\"https://doi.org/10.1111/jems.12259\">10.1111/jems.12259</a>}, number={3}, journal={Journal of Economics &#38; Management Strategy}, publisher={Wiley}, author={Balsmeier, Benjamin and Assaf, Mohamad and Chesebro, Tyler and Fierro, Gabe and Johnson, Kevin and Johnson, Scott and Li, Guan‐Cheng and Lück, Sonja and O’Reagan, Doug and Yeh, Bill and et al.}, year={2018}, pages={535–553} }","mla":"Balsmeier, Benjamin, et al. “Machine Learning and Natural Language Processing on the Patent Corpus: Data, Tools, and New Measures.” <i>Journal of Economics &#38; Management Strategy</i>, vol. 27, no. 3, Wiley, 2018, pp. 535–53, doi:<a href=\"https://doi.org/10.1111/jems.12259\">10.1111/jems.12259</a>."},"intvolume":"        27","publication_status":"published","date_updated":"2023-08-16T13:25:22Z","author":[{"full_name":"Balsmeier, Benjamin","first_name":"Benjamin","last_name":"Balsmeier"},{"first_name":"Mohamad","last_name":"Assaf","full_name":"Assaf, Mohamad"},{"full_name":"Chesebro, Tyler","first_name":"Tyler","last_name":"Chesebro"},{"full_name":"Fierro, Gabe","first_name":"Gabe","last_name":"Fierro"},{"first_name":"Kevin","last_name":"Johnson","full_name":"Johnson, Kevin"},{"full_name":"Johnson, Scott","last_name":"Johnson","first_name":"Scott"},{"full_name":"Li, Guan‐Cheng","first_name":"Guan‐Cheng","last_name":"Li"},{"last_name":"Lück","orcid":"0000-0003-0380-1965","first_name":"Sonja","full_name":"Lück, Sonja","id":"950"},{"first_name":"Doug","last_name":"O'Reagan","full_name":"O'Reagan, Doug"},{"full_name":"Yeh, Bill","last_name":"Yeh","first_name":"Bill"},{"full_name":"Zang, Guangzheng","first_name":"Guangzheng","last_name":"Zang"},{"first_name":"Lee","last_name":"Fleming","full_name":"Fleming, Lee"}],"publication_identifier":{"issn":["1058-6407","1530-9134"]},"year":"2018","title":"Machine learning and natural language processing on the patent corpus: Data, tools, and new measures","doi":"10.1111/jems.12259","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Drawing upon recent advances in machine learning and natural language processing, we introduce new tools that automatically ingest, parse, disambiguate, and build an updated database using U.S. patent data. The tools identify unique inventor, assignee, and location entities mentioned on each granted U.S. patent from 1976 to 2016. We describe data flow, algorithms, user interfaces, descriptive statistics, and a novelty measure based on the first appearance of a word in the patent corpus. We illustrate an automated coinventor network mapping tool and visualize trends in patenting over the last 40 years."}],"issue":"3","publication":"Journal of Economics & Management Strategy","department":[{"_id":"200"},{"_id":"281"},{"_id":"475"}],"type":"journal_article","keyword":["Management of Technology and Innovation","Strategy and Management","Economics and Econometrics","General Business","Management and Accounting","General Medicine"],"date_created":"2022-06-08T08:49:54Z"},{"keyword":["road accidents","light conditions","daylight saving time"],"type":"working_paper","department":[{"_id":"281"}],"date_created":"2023-08-16T10:52:26Z","citation":{"bibtex":"@book{Bünnings_Schiele_2018, series={ Ruhr Economic Papers}, title={Spring forward, don’t fall back: The effect of daylight saving time on road safety}, volume={768}, publisher={RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}, author={Bünnings, Christian and Schiele, Valentin}, year={2018}, collection={ Ruhr Economic Papers} }","ama":"Bünnings C, Schiele V. <i>Spring Forward, Don’t Fall Back: The Effect of Daylight Saving Time on Road Safety</i>. 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