Cargando…
The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model
The outbreak of COVID-19 has led to a global health crisis and caused huge emotional swings. However, the positive emotional expressions, like self-confidence, optimism, and praise, that appear in Chinese social networks are rarely explored by researchers. This study aims to analyze the characterist...
Autores principales: | Pan, Wenhao, Han, Yingying, Li, Jinjin, Zhang, Emily, He, Bikai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630060/ https://www.ncbi.nlm.nih.gov/pubmed/36345548 http://dx.doi.org/10.1007/s12144-022-03876-4 |
Ejemplares similares
-
The Transfer Model and Guidance Strategy of Netizens' Emotions
por: Wen, Zhitao, et al.
Publicado: (2022) -
The SenticNet sentiment lexicon
por: Biagioni, Raoul
Publicado: (2016) -
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
por: Jiang, Xuchu, et al.
Publicado: (2022) -
Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis
por: Li, Chaixiu, et al.
Publicado: (2023) -
Netizens : on the history and impact of Usenet and the Internet /
por: Hauben, Michael
Publicado: (1997)