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Analysis of Statistics and Semantic Relations of Odor-Describing Words in Written Olfactory Versus Non- Olfactory Contexts
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0002-2358-7815
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2017 (English)In: Chemical Senses, ISSN 0379-864X, E-ISSN 1464-3553, Vol. 42, no 2, p. E34-E35Article in journal (Refereed) Published
Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2017. Vol. 42, no 2, p. E34-E35
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Chemical Sciences
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URN: urn:nbn:se:kth:diva-205129ISI: 000397065700082OAI: oai:DiVA.org:kth-205129DiVA, id: diva2:1096406
Conference
26th Annual Meeting of the European-Chemoreception-Research-Organization (ECRO), SEP 07-10, 2016, Athens, GREECE
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QC 20170517

Available from: 2017-05-17 Created: 2017-05-17 Last updated: 2017-05-17Bibliographically approved

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Lansner, Anders

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