Cargando…
Enriching semantic knowledge bases for opinion mining in big data applications
This paper presents a novel method for contextualizing and enriching large semantic knowledge bases for opinion mining with a focus on Web intelligence platforms and other high-throughput big data applications. The method is not only applicable to traditional sentiment lexicons, but also to more com...
Autores principales: | Weichselbraun, A., Gindl, S., Scharl, A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235782/ https://www.ncbi.nlm.nih.gov/pubmed/25431524 http://dx.doi.org/10.1016/j.knosys.2014.04.039 |
Ejemplares similares
-
The impact of semantics on aspect level opinion mining
por: Aboelela, Eman M., et al.
Publicado: (2021) -
Exploiting semantic web knowledge graphs in data mining
por: Ristoski, P
Publicado: (2019) -
Innovations in big data mining and embedded knowledge
por: Esposito, Anna, et al.
Publicado: (2019) -
Semantic data mining: an ontology-based approach
por: Ławrynowicz, A
Publicado: (2017) -
Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data
por: Song, Juyoung, et al.
Publicado: (2023)