Next Article in Journal
New Ciders Made by an Exhaustion Method: An Option to Val-Orise Subproducts from the Making of Ice Ciders
Previous Article in Journal
Anethole Stability in Aniseed Spirits: Storage Condition Repercussions on Commercial Products
Article

Mapping the Sensory Fingerprint of Swedish Beer Market through Text and Data Mining and Multivariate Strategies

1
Agriculture and Food, Product Design—RISE—Research Institutes of Sweden, 41276 Göteborg, Sweden
2
Material and Exterior Design, Perception—RISE—Research Institutes of Sweden, 41276 Göteborg, Sweden
3
School of Hospitality, Culinary Arts and Meal Science, Örebro University, 71260 Grythyttan, Sweden
*
Authors to whom correspondence should be addressed.
Academic Editor: Alberto Mannu
Received: 19 October 2021 / Revised: 7 November 2021 / Accepted: 8 November 2021 / Published: 10 November 2021
(This article belongs to the Special Issue Application of Statistics for Beverages)
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. View Full-Text
Keywords: beer; sensory science; text data; data analysis; market study beer; sensory science; text data; data analysis; market study
Show Figures

Graphical abstract

MDPI and ACS Style

Garrido-Bañuelos, G.; de Barros Alves, H.; Mihnea, M. Mapping the Sensory Fingerprint of Swedish Beer Market through Text and Data Mining and Multivariate Strategies. Beverages 2021, 7, 74. https://0-doi-org.brum.beds.ac.uk/10.3390/beverages7040074

AMA Style

Garrido-Bañuelos G, de Barros Alves H, Mihnea M. Mapping the Sensory Fingerprint of Swedish Beer Market through Text and Data Mining and Multivariate Strategies. Beverages. 2021; 7(4):74. https://0-doi-org.brum.beds.ac.uk/10.3390/beverages7040074

Chicago/Turabian Style

Garrido-Bañuelos, Gonzalo, Helia de Barros Alves, and Mihaela Mihnea. 2021. "Mapping the Sensory Fingerprint of Swedish Beer Market through Text and Data Mining and Multivariate Strategies" Beverages 7, no. 4: 74. https://0-doi-org.brum.beds.ac.uk/10.3390/beverages7040074

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop