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Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
As data grow rapidly on social media by users’ contributions, specially with the recent coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand. The opinions behind posts on the pandemic are the scope of the tested dataset in this study. Finding the most suitable cla...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502794/ https://www.ncbi.nlm.nih.gov/pubmed/34660170 http://dx.doi.org/10.1007/s13369-021-06227-w |