Emotion role detection aims to better understand the structure and sentiments of online social networks and support further analysis, e.g., revealing public ...
Fine-grained Emotion Role Detection Based on Retweet Information. 39:3 important role in emotion propagation. Above two perspectives build the basis of ...
Emotion role detection aims to better understand the structure and sentiments of online social networks and support further analysis, e.g., revealing public ...
Fine-grained Emotion Role Detection Based on Retweet Information. 39:3 important role in emotion propagation. Above two perspectives build the basis of ...
Emotion role detection aims to better understand the structure and sentiments of online social networks and support further analysis, e.g., revealing public ...
Emotion role detection aims to better understand the structure and sentiments of online social networks and support further analysis, e.g., revealing public ...
Emotion role detection aims to better understand the structure and sentiments of online social networks and support further analysis, e.g., revealing public ...
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What are emotion detection techniques?
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What are the models of emotion detection from text?
In this section, we describe our fine-grained emotion detection in tweets model: EmoBERT. The success of deep neural networks (DNNs) has provided the ability to ...
Automatic emotion detection in text is concerned with using natural language processing techniques to recognize emotions expressed in written discourse.
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This article comprehensively reviews emotion-based methods for misinformation detection, with a particular focus on advanced fusion methods.