Cargando…
Sentiment Analysis: An ERNIE-BiLSTM Approach to Bullet Screen Comments
Sentiment analysis is one of the fields of affective computing, which detects and evaluates people’s psychological states and sentiments through text analysis. It is an important application of text mining technology and is widely used to analyze comments. Bullet screen videos have become a popular...
Autores principales: | Hsieh, Yen-Hao, Zeng, Xin-Ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318645/ https://www.ncbi.nlm.nih.gov/pubmed/35890903 http://dx.doi.org/10.3390/s22145223 |
Ejemplares similares
-
Recognition of Unknown Entities in Specific Financial Field Based on ERNIE-Doc-BiLSTM-CRF
por: Xin, Li, et al.
Publicado: (2022) -
Retracted: Recognition of Unknown Entities in Specific Financial Field Based on ERNIE-Doc-BiLSTM-CRF
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
por: Jiang, Xuchu, et al.
Publicado: (2022) -
Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
por: Li, Aichuan, et al.
Publicado: (2022) -
Retracted: Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
por: Intelligence and Neuroscience, Computational
Publicado: (2023)