Construction and Research on Chinese Semantic Mapping Based on Linguistic Features and Sparse Self-Learning Neural Networks

In this paper, we adopt the algorithms of linguistic feature Rong and sparse self-learning neural network to conduct an in-depth study and analysis of Chinese semantic mapping, which complements the emotion semantic representation ability of traditional word embedding and fully explores the emotion...

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Detalles Bibliográficos
Autores principales: Zhang, Haiping, Chao, Bo, Huang, Zhijing, Li, Tingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236845/
https://www.ncbi.nlm.nih.gov/pubmed/35769283
http://dx.doi.org/10.1155/2022/2315802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236845/
https://www.ncbi.nlm.nih.gov/pubmed/35769283
http://dx.doi.org/10.1155/2022/2315802

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