Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning

Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual. Although recent contextual models are increasingly dominant, we still see demand for lexicon-based model...

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Detalles Bibliográficos
Autores principales: Alshaabi, Thayer, Van Oort, Colin M., Fudolig, Mikaela Irene, Arnold, Michael V., Danforth, Christopher M., Dodds, Peter Sheridan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819185/
https://www.ncbi.nlm.nih.gov/pubmed/35141518
http://dx.doi.org/10.3389/frai.2021.783778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819185/
https://www.ncbi.nlm.nih.gov/pubmed/35141518
http://dx.doi.org/10.3389/frai.2021.783778

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