An Augmented Neural Network for Sentiment Analysis Using Grammar

Understanding human sentiment from their expressions is very important in human-robot interaction. But deep learning models are hard to represent grammatical changes for natural language processing (NLP), especially for sentimental analysis, which influence the robot's judgment of sentiment. Th...

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Detalles Bibliográficos
Autores principales: Zhang, Baohua, Zhang, Huaping, Shang, Jianyun, Cai, Jiahao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284271/
https://www.ncbi.nlm.nih.gov/pubmed/35845762
http://dx.doi.org/10.3389/fnbot.2022.897402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284271/
https://www.ncbi.nlm.nih.gov/pubmed/35845762
http://dx.doi.org/10.3389/fnbot.2022.897402

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