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A multimodal sentiment detection architecture for identifying depression in social media.

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Enhancing Depression Detection in Social Media using Multimodal methods: A Scalable Approach for Improved Accuracy and Efficiency

Our architecture:

image

Frontend demo:

3b797ef07056c8076f184140a7b9c8ad

https://github.com/ProsperousYe/WALL-E-Detector.git

See our reports and experiments, as well as derived insights:

https://drive.google.com/file/d/1_m1JyPbN6DfUmz7r7rYWUAQViSTZPv1b/view

Notable Reference - Some of the text-related ideas are adpoted from

https://github.com/wywyWang/Depression-Detection-LT-EDI-ACL-2022

Developers

Zihan Zhou, Xiaokang Ye, Pangyu Li, Yuheng Liu

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A multimodal sentiment detection architecture for identifying depression in social media.

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