1 resultado para social-proximity urban vehicular networks
em Dalarna University College Electronic Archive
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (2)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- Academic Research Repository at Institute of Developing Economies (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Applied Math and Science Education Repository - Washington - USA (49)
- Archive of European Integration (13)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (7)
- Aston University Research Archive (22)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital - Universidad Icesi - Colombia (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (3)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (22)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- Cambridge University Engineering Department Publications Database (1)
- CentAUR: Central Archive University of Reading - UK (28)
- Central European University - Research Support Scheme (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (9)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (104)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (3)
- Digital Commons - Montana Tech (2)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (7)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (3)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (1)
- Ecology and Society (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (10)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (15)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (1)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Memoria Académica - FaHCE, UNLP - Argentina (13)
- Ministerio de Cultura, Spain (1)
- Portal de Revistas Científicas Complutenses - Espanha (10)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (35)
- Queensland University of Technology - ePrints Archive (252)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- REPOSITÓRIO ABERTO do Instituto Superior Miguel Torga - Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (5)
- Repositório Institucional da Universidade de Aveiro - Portugal (6)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (3)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- Repositorio Institucional Universidad de Medellín (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (8)
- Universidad Politécnica de Madrid (25)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (12)
- Universidade Metodista de São Paulo (3)
- Universidade Técnica de Lisboa (3)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (4)
- Université de Montréal, Canada (57)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Michigan (3)
- University of Queensland eSpace - Australia (10)
- University of Southampton, United Kingdom (11)
- University of Washington (4)
- WestminsterResearch - UK (4)
Resumo:
Market research is often conducted through conventional methods such as surveys, focus groups and interviews. But the drawbacks of these methods are that they can be costly and timeconsuming. This study develops a new method, based on a combination of standard techniques like sentiment analysis and normalisation, to conduct market research in a manner that is free and quick. The method can be used in many application-areas, but this study focuses mainly on the veganism market to identify vegan food preferences in the form of a profile. Several food words are identified, along with their distribution between positive and negative sentiments in the profile. Surprisingly, non-vegan foods such as cheese, cake, milk, pizza and chicken dominate the profile, indicating that there is a significant market for vegan-suitable alternatives for such foods. Meanwhile, vegan-suitable foods such as coconut, potato, blueberries, kale and tofu also make strong appearances in the profile. Validation is performed by using the method on Volkswagen vehicle data to identify positive and negative sentiment across five car models. Some results were found to be consistent with sales figures and expert reviews, while others were inconsistent. The reliability of the method is therefore questionable, so the results should be used with caution.