Combining Context-Aware Embeddings and an Attentional Deep Learning Model for Arabic Affect Analysis on Twitter

Combining Context-Aware Embeddings and an Attentional Deep Learning Model for Arabic Affect Analysis on Twitter

Affect analysis has recently attracted a great deal of attention due to the rapid development of online social platforms (i.e., Twitter, Facebook). Affect analysis is a part of a broader area of affective computing that aims to detect and grasp human emotions or affects within a piece of writing. Co...

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Bibliographic Details
Main Authors: Hanane Elfaik, El Habib Nfaoui
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Emotion analysis
AraBERT
deep learning
multilabel emotion classification
attention mechanism
Arabic language
Online Access:https://ieeexplore.ieee.org/document/9504545/

Internet

https://ieeexplore.ieee.org/document/9504545/

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