Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Mapping the sensory fingerprint of swedish beer market through text and data mining and multivariate strategies
RISE Research Institutes of Sweden, Bioekonomi och hälsa, Jordbruk och livsmedel.ORCID-id: 0000-0001-5129-9338
RISE Research Institutes of Sweden, Bioekonomi och hälsa, Jordbruk och livsmedel.
RISE Research Institutes of Sweden. Örebro University, Sweden.ORCID-id: 0000-0003-2606-9455
2021 (Engelska)Ingår i: Beverages, ISSN 2306-5710, Vol. 7, nr 4, artikel-id 74Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The continuous increase of online data with consumers’ and experts’ reviews and preferences is a potential tool for sensory characterization. The present work aims to overview the Swedish beer market and understand the sensory fingerprint of Swedish beers based on text data extracted from the Swedish alcohol retail monopoly (Systembolaget) website. Different multivariate strategies such as heatmaps, correspondence analysis and hierarchical cluster analysis were used to understand the sensory space of the different beer styles. Additionally, sensory space for specific hop cultivars was also investigated. Results highlighted Gothenburg as the main producing area in Sweden. The style Indian Pale Ale (IPA) is the largest available at the retail monopoly. From a sensory perspective, commonalities and differences were found between beer types and styles. Based on the aroma description, different types of ale and lager can cluster together (such as Porter and Stout and Dark lagers). Additionally, an associative relationship between specific aromas and hop cultivars from text data information was successfully achieved. © 2021 by the authors.

Ort, förlag, år, upplaga, sidor
MDPI , 2021. Vol. 7, nr 4, artikel-id 74
Nyckelord [en]
Beer, Data analysis, Market study, Sensory science, Text data
Nationell ämneskategori
Nationalekonomi
Identifikatorer
URN: urn:nbn:se:ri:diva-56994DOI: 10.3390/beverages7040074Scopus ID: 2-s2.0-85119142277OAI: oai:DiVA.org:ri-56994DiVA, id: diva2:1614392
Anmärkning

Funding details: 2018-2132; Funding text 1: Funding: This research part of Hope for Swedish hops (EIP-AGRI, Agriculture & Innovation), Fufunnddiendg:bTyhJiosrrdebseraurkcshvperakrteot f2H01o8p-2e1f3o2r.Swedish hops (EIP-AGRI, Agriculture & Innovation), funded by Jordbruksverket 2018-2132. Institutional Review Board Statement: Not applicable.

Tillgänglig från: 2021-11-25 Skapad: 2021-11-25 Senast uppdaterad: 2021-11-25Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Garrido Banuelos, GonzaloMihnea, Mihaela

Sök vidare i DiVA

Av författaren/redaktören
Garrido Banuelos, GonzaloMihnea, Mihaela
Av organisationen
Jordbruk och livsmedelRISE Research Institutes of Sweden
Nationalekonomi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 48 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf