A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios.

Sentiment analysis (SA) is a study area focused on obtaining contextual polarity from the text. Currently, deep learning has obtained outstanding results in this task. However, much annotated data are necessary to train these algorithms, and obtaining this data is expensive and difficult. In the con...

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Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 58; no. 1; pp. 133 - 175
Main Authors:	dos Santos Neto, Manoel Veríssimo, da Silva, Nádia Félix F., da Silva Soares, Anderson
Format:	Article
Published:	Springer Nature Mar2024
Subjects:	Sentiment analysis Natural language processing Language models Convolutional neural networks Long-term memory
Online Access:	View this record in EBSCOhost