Sentiment analysis based on a social media customised dictionary

This article presents a methodology to classify the polarity of words from selected Tweets. Usually, social media sentiment (SMS) is lexically determined, manually or by machine learning. However, these methods are either slow or based on a pre-established dictionary, thus not providing a customised...

Descripción completa

Detalles Bibliográficos
Autores principales: Almeida, Milene Dias, Maia, Vinicius Mothé, Tommasetti, Roberto, Leite, Rodrigo de Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374646/
https://www.ncbi.nlm.nih.gov/pubmed/34430334
http://dx.doi.org/10.1016/j.mex.2021.101449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374646/
https://www.ncbi.nlm.nih.gov/pubmed/34430334
http://dx.doi.org/10.1016/j.mex.2021.101449

Ejemplares similares