BigFeel-A distributed processing environment for the integration of sentiment analysis methods

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorFerreira, Roger Santos-
Autor(es): dc.creatorPereira, Denilson Alves-
Data de aceite: dc.date.accessioned2026-02-09T12:00:51Z-
Data de disponibilização: dc.date.available2026-02-09T12:00:51Z-
Data de envio: dc.date.issued2020-06-26-
Data de envio: dc.date.issued2020-06-26-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/41590-
Fonte completa do material: dc.identifierhttps://academic.oup.com/comjnl/article-abstract/62/11/1671/5389528-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1152441-
Descrição: dc.descriptionSentiment analysis has been the main focus of plenty of research efforts, particularly justified by its commercial significance, both for consumers and businesses. Thus, many methods have been proposed so far, and the most prominent have been compared in terms of effectiveness. Nonetheless, the literature is deficient when it comes to assessing the efficiency of these methods for processing large volumes of data. In this study, we performed an experimental assessment of the efficiency of 22 methods in total, whose implementations were available. We also proposed and assessed an environment for distributed processing methods for sentiment analysis, using the Apache Spark platform, named BigFeel. In this environment, the existing methods, outlined to run in a non-distributed way, can be adapted, without altering their source code, to run in a distributed manner. The experimental results reveal that (i) few methods are efficient in their native form, (ii) the methods improve their efficiency after having been integrated into BigFeel, (iii) some of them, which were unfeasible to process a large dataset, became viable when deployed in a computer cluster and (iv) some methods can only handle small datasets, even in a distributed manner.-
Idioma: dc.languageen-
Publicador: dc.publisherThe British Computer Society-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceThe Computer Journal-
Palavras-chave: dc.subjectSentiment analysis-
Palavras-chave: dc.subjectApache Spark-
Palavras-chave: dc.subjectHadoop-
Palavras-chave: dc.subjectBig data-
Palavras-chave: dc.subjectAnálise de sentimento-
Palavras-chave: dc.subjectAprendizagem de máquina-
Palavras-chave: dc.subjectProcessamento de linguagem natural-
Título: dc.titleBigFeel-A distributed processing environment for the integration of sentiment analysis methods-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.