Computational stylometry: predicting the authorship of investment arbitration awards
Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques a...
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| Autori principali: | , , |
|---|---|
| Natura: | Online |
| Lingua: | inglese |
| Pubblicazione: |
Edward Elgar Publishing
2021
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| Soggetti: | |
| Accesso online: | 51234 |
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| _version_ | 1869514310140559360 |
|---|---|
| author | Daniel Behn Runar Lie Malcolm Langford |
| author_browse | Daniel Behn Malcolm Langford Runar Lie |
| author_facet | Daniel Behn Runar Lie Malcolm Langford |
| author_sort | Daniel Behn |
| collection | Directory of Open Access Books |
| description | Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies. |
| format | Online |
| id | doab-20.500.12854ir-63285 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-632852023-12-20T16:24:18Z Computational stylometry: predicting the authorship of investment arbitration awards Daniel Behn Runar Lie Malcolm Langford K1-7720 legal research empirical legal research law and economics computational law book computational legal studies computational social science bic Book Industry Communication::L Law Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies. 2021-02-12T10:16:44Z 2021-02-12T10:16:44Z 2021-01-04 11:59:56 2020 chapter 51234 https://directory.doabooks.org/handle/20.500.12854/63285 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.elgaronline.com/view/edcoll/9781788977449/9781788977449.00008.xml Edward Elgar Publishing 10.4337/9781788977456.00008 10.4337/9781788977456.00008 01ceac28-75b4-492a-8eec-f9b98bc6b28c 9781788977449 9781788977456 open access |
| spellingShingle | K1-7720 legal research empirical legal research law and economics computational law book computational legal studies computational social science bic Book Industry Communication::L Law Daniel Behn Runar Lie Malcolm Langford Computational stylometry: predicting the authorship of investment arbitration awards |
| title | Computational stylometry: predicting the authorship of investment arbitration awards |
| title_full | Computational stylometry: predicting the authorship of investment arbitration awards |
| title_fullStr | Computational stylometry: predicting the authorship of investment arbitration awards |
| title_full_unstemmed | Computational stylometry: predicting the authorship of investment arbitration awards |
| title_short | Computational stylometry: predicting the authorship of investment arbitration awards |
| title_sort | computational stylometry predicting the authorship of investment arbitration awards |
| topic | K1-7720 legal research empirical legal research law and economics computational law book computational legal studies computational social science bic Book Industry Communication::L Law |
| topic_facet | K1-7720 legal research empirical legal research law and economics computational law book computational legal studies computational social science bic Book Industry Communication::L Law |
| url | 51234 |
| work_keys_str_mv | AT danielbehn computationalstylometrypredictingtheauthorshipofinvestmentarbitrationawards AT runarlie computationalstylometrypredictingtheauthorshipofinvestmentarbitrationawards AT malcolmlangford computationalstylometrypredictingtheauthorshipofinvestmentarbitrationawards |