Using Twitter to explore consumers' sentiments and their social representations towards new food trends
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:72082 |
| Acceso en línea: | https://oa.upm.es/72082/ |
| Access Level: | acceso abierto |
| Palabra clave: | Food trends Consumer behaviour Big data Twitter analytics Opinion mining Density-based clustering |
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Using Twitter to explore consumers' sentiments and their social representations towards new food trendsPindado Tapia, Emilio|||0000-0002-4262-3201Barrena, RamoFood trendsConsumer behaviourBig dataTwitter analyticsOpinion miningDensity-based clustering20202020-11-10journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/72082/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:720822026-06-21T12:45:07Z |
| dc.title.none.fl_str_mv |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| title |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| spellingShingle |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends Pindado Tapia, Emilio|||0000-0002-4262-3201 Food trends Consumer behaviour Big data Twitter analytics Opinion mining Density-based clustering |
| title_short |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| title_full |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| title_fullStr |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| title_full_unstemmed |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| title_sort |
Using Twitter to explore consumers' sentiments and their social representations towards new food trends |
| dc.creator.none.fl_str_mv |
Pindado Tapia, Emilio|||0000-0002-4262-3201 Barrena, Ramo |
| author |
Pindado Tapia, Emilio|||0000-0002-4262-3201 |
| author_facet |
Pindado Tapia, Emilio|||0000-0002-4262-3201 Barrena, Ramo |
| author_role |
author |
| author2 |
Barrena, Ramo |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Food trends Consumer behaviour Big data Twitter analytics Opinion mining Density-based clustering |
| topic |
Food trends Consumer behaviour Big data Twitter analytics Opinion mining Density-based clustering |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2020-11-10 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://oa.upm.es/72082/ |
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https://oa.upm.es/72082/ |
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Inglés en |
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Inglés en |
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open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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reponame:Archivo Digital UPM instname:Universidad Politécnica de Madrid |
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Universidad Politécnica de Madrid |
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Archivo Digital UPM |
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Archivo Digital UPM |
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1869421635330637824 |
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15,300719 |