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>

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

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

Cannot write session to /tmp/vufind_sessions/sess_jlmu3o8ktuvadfrm57i05k39fi