Use Social Media Knowledge for Exploring the Portuguese Wine Industry
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Publication Date: | 2022 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/151030 |
Summary: | This work was supported by the Associate Laboratory for Green Chemistry—LAQV, financed by the Portuguese Foundation for Science and Technology (FCT/MCTES) Ref. UID/QUI/50006/2020; the Portuguese Foundation for Science and Technology (FCT/MCTES) under the scope of Norte2020—Programa Operacional Regional do Norte. Ref. NORTE-01-0145-FEDER-000004; the Consellerıa de Educacion, Universidades e Formacion Profesional (Xunta de Galicia) under the scope of the strategic funding of ED431C2018/55-GRC Competitive Reference Group, the “Centro singular de investigacion de Galicia” (accreditation 2019-2022) funded by the European Regional Development Fund (ERDF)-Ref. ED431G2019/06. Publisher Copyright: © 2022 Gael Pérez-Rodríguez et al. |
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Use Social Media Knowledge for Exploring the Portuguese Wine IndustryFollowing Talks and Perceptions?SoftwareComputer Science ApplicationsThis work was supported by the Associate Laboratory for Green Chemistry—LAQV, financed by the Portuguese Foundation for Science and Technology (FCT/MCTES) Ref. UID/QUI/50006/2020; the Portuguese Foundation for Science and Technology (FCT/MCTES) under the scope of Norte2020—Programa Operacional Regional do Norte. Ref. NORTE-01-0145-FEDER-000004; the Consellerıa de Educacion, Universidades e Formacion Profesional (Xunta de Galicia) under the scope of the strategic funding of ED431C2018/55-GRC Competitive Reference Group, the “Centro singular de investigacion de Galicia” (accreditation 2019-2022) funded by the European Regional Development Fund (ERDF)-Ref. ED431G2019/06. Publisher Copyright: © 2022 Gael Pérez-Rodríguez et al.This work presents an exploratory study that retrieves, processes, and analyses Twitter data to gain insights about the relevance and perceptions of the wine industry in the Douro Portuguese region (including Porto and Douro wines), as well as other regions in the country. The main techniques and algorithms used in our work belong to the families of natural language processing and machine learning, and the practical relevance of the proposed methodology has been proven in the analysis of 1.2 million unique messages from more than 764,000 distinct users retrieved from the Twitter platform. Derived results from this study are valuable to provide insights that can be further used in the context of Business Informatics to promote better and more efficient marketing campaigns, for example, centering the topic on the most interested people or communicating with the most appropriate words.LAQV@REQUIMTERUNPérez-Rodríguez, GaelBaptista, João PedroIgrejas, GilbertoFdez-Riverola, FlorentinoLourenço, Anália2023-03-21T22:28:37Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://hdl.handle.net/10362/151030eng1058-9244PURE: 56524772https://doi.org/10.1155/2022/2912770info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:10:25Zoai:run.unl.pt:10362/151030Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:40:54.737017Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry Following Talks and Perceptions? |
title |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
spellingShingle |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry Pérez-Rodríguez, Gael Software Computer Science Applications |
title_short |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
title_full |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
title_fullStr |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
title_full_unstemmed |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
title_sort |
Use Social Media Knowledge for Exploring the Portuguese Wine Industry |
author |
Pérez-Rodríguez, Gael |
author_facet |
Pérez-Rodríguez, Gael Baptista, João Pedro Igrejas, Gilberto Fdez-Riverola, Florentino Lourenço, Anália |
author_role |
author |
author2 |
Baptista, João Pedro Igrejas, Gilberto Fdez-Riverola, Florentino Lourenço, Anália |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
LAQV@REQUIMTE RUN |
dc.contributor.author.fl_str_mv |
Pérez-Rodríguez, Gael Baptista, João Pedro Igrejas, Gilberto Fdez-Riverola, Florentino Lourenço, Anália |
dc.subject.por.fl_str_mv |
Software Computer Science Applications |
topic |
Software Computer Science Applications |
description |
This work was supported by the Associate Laboratory for Green Chemistry—LAQV, financed by the Portuguese Foundation for Science and Technology (FCT/MCTES) Ref. UID/QUI/50006/2020; the Portuguese Foundation for Science and Technology (FCT/MCTES) under the scope of Norte2020—Programa Operacional Regional do Norte. Ref. NORTE-01-0145-FEDER-000004; the Consellerıa de Educacion, Universidades e Formacion Profesional (Xunta de Galicia) under the scope of the strategic funding of ED431C2018/55-GRC Competitive Reference Group, the “Centro singular de investigacion de Galicia” (accreditation 2019-2022) funded by the European Regional Development Fund (ERDF)-Ref. ED431G2019/06. Publisher Copyright: © 2022 Gael Pérez-Rodríguez et al. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-03-21T22:28:37Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10362/151030 |
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dc.language.iso.fl_str_mv |
eng |
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eng |
dc.relation.none.fl_str_mv |
1058-9244 PURE: 56524772 https://doi.org/10.1155/2022/2912770 |
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openAccess |
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17 application/pdf |
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