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Editorial: Special Issue on Natural Language Processing for Social Media Analysis
Univ Hertfordshire, UK.
Lund University, Sweden.
Lund University, Sweden.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-0519-2537
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2020 (English)In: International journal on artificial intelligence tools, ISSN 0218-2130, Vol. 29, no 2, p. 1-2, article id 2002001Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
World Scientific, 2020. Vol. 29, no 2, p. 1-2, article id 2002001
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Computer and Information Sciences
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Computer and Information Sciences Computer Science, Computer Science
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URN: urn:nbn:se:lnu:diva-94038DOI: 10.1142/S0218213020020017ISI: 000524003300001Scopus ID: 2-s2.0-85083051074OAI: oai:DiVA.org:lnu-94038DiVA, id: diva2:1427010
Available from: 2020-04-28 Created: 2020-04-28 Last updated: 2021-05-15Bibliographically approved

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Kerren, Andreas

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