Ablation Study results on SDTI dataset.

<div><p>Sentiment analysis methods aim to evaluate users’ mental health conditions by analyzing their posted content (text, images, and audio) on social networks. However, given the diversity and complexity of social media information, traditional single-modal sentiment analysis techniqu...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shiyong Li (762533) (author)
مؤلفون آخرون:	He Li (176971) (author), Juan Du (118107) (author), Shitao Yan (22582158) (author), Chuang Dong (5920868) (author)
منشور في:	2025
الموضوعات:	Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified user &# 8217 three key steps mental health conditions may even lead fully connected network custom dataset constructed social media posts social media information social networks ultimately determining traditional single sentiment classification sentiment analysis resnet50 models posted content paper proposes image data fused features framework consists extract features experiments conducted emotional states emotional state contradictory conclusions
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Ablation Study results on SDTI dataset.

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