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Ablation Study: Accuracy On Sentiment140 And Emotion Datasets.

Ablation Study: Accuracy On Sentiment140 And Emotion Datasets.

<p>Ablation Study: Accuracy On Sentiment140 And Emotion Datasets.</p>

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Bibliographic Details
Main Author: Jiangting Yan (20818388) (author)
Other Authors: Pengju Pu (20818391) (author), Liheng Jiang (20818394) (author)
Published: 2025
Subjects:
Sociology
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
incorporating temporal dynamics
improving computational efficiency
effective feature extraction
demonstrating significant improvements
deep learning baselines
conditional random fields
challenging task due
model &# 8217
large labeled datasets
graph neural networks
rgc net provides
rgc net achieves
emotion label prediction
capture emotion evolution
rgc net
used datasets
social networks
proposed model
propose emotion
emotion recognition
emotion classification
unstructured text
unstructured nature
two widely
strong performance
social media
robust solution
results indicate
novel approach
including reducing
identify areas
gnn captures
gnn ),
generated content
future research
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Summary:<p>Ablation Study: Accuracy On Sentiment140 And Emotion Datasets.</p>

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