Cross Lingual Sentiment Analysis: A Clustering-Based Bee Colony Instance Selection and Target-Based Feature Weighting Approach

The lack of sentiment resources in poor resource languages poses challenges for the sentiment analysis in which machine learning is involved. Cross-lingual and semi-supervised learning approaches have been deployed to represent the most common ways that can overcome this issue. However, performance...

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Detalles Bibliográficos
Autores principales: Mohammed Almansor, Mohammed Abbas, Zhang, Chongfu, Khan, Wasiq, Hussain, Abir, Alhusaini, Naji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570551/
https://www.ncbi.nlm.nih.gov/pubmed/32942721
http://dx.doi.org/10.3390/s20185276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570551/
https://www.ncbi.nlm.nih.gov/pubmed/32942721
http://dx.doi.org/10.3390/s20185276

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