1 resultado para expressing negativity
em Open University Netherlands
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Adam Mickiewicz University Repository (4)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (5)
- Biblioteca Digital de la Universidad Católica Argentina (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (24)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (49)
- Boston University Digital Common (2)
- Brock University, Canada (2)
- CaltechTHESIS (6)
- Cambridge University Engineering Department Publications Database (6)
- CentAUR: Central Archive University of Reading - UK (5)
- Center for Jewish History Digital Collections (2)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (46)
- CORA - Cork Open Research Archive - University College Cork - Ireland (12)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (18)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (10)
- DigitalCommons@The Texas Medical Center (4)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (36)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (7)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (1)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (66)
- Indian Institute of Science - Bangalore - Índia (68)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (2)
- Instituto Politécnico do Porto, Portugal (6)
- Massachusetts Institute of Technology (4)
- National Center for Biotechnology Information - NCBI (52)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (211)
- Queensland University of Technology - ePrints Archive (185)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (6)
- Repositório Institucional da Universidade de Aveiro - Portugal (10)
- Repositório Institucional da Universidade Federal de São Paulo - UNIFESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (9)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (2)
- South Carolina State Documents Depository (1)
- Universidad del Rosario, Colombia (1)
- Universidade de Lisboa - Repositório Aberto (7)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Université de Lausanne, Switzerland (23)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (1)
- University of Michigan (5)
- University of Queensland eSpace - Australia (17)
- University of Southampton, United Kingdom (1)
- WestminsterResearch - UK (4)
- Worcester Research and Publications - Worcester Research and Publications - UK (6)
Resumo:
Opinion mining and sentiment analysis are important research areas of Natural Language Processing (NLP) tools and have become viable alternatives for automatically extracting the affective information found in texts. Our aim is to build an NLP model to analyze gamers’ sentiments and opinions expressed in a corpus of 9750 game reviews. A Principal Component Analysis using sentiment analysis features explained 51.2 % of the variance of the reviews and provides an integrated view of the major sentiment and topic related dimensions expressed in game reviews. A Discriminant Function Analysis based on the emerging components classified game reviews into positive, neutral and negative ratings with a 55 % accuracy.