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AVEC2019 DDS
AVEC2019 DDS is a benchmark dataset for depression detection. -
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression ...
Multimodal sentiment analysis and depression estimation are two important research topics that aim to predict human mental states using multimodal data. -
Twitter Depression Detection Dataset
The dataset used in this study contains tweets from 111 user profiles and more than 300,000 tweets. -
Distress Analysis Interview Corpus Wizard of Oz dataset (DAIC-WOZ)
The Distress Analysis Interview Corpus Wizard of Oz dataset (DAIC-WOZ) dataset. -
Extended Distress Analysis Interview Corpus Wizard of Oz dataset (E-DAIC)
The Extended Distress Analysis Interview Corpus Wizard of Oz dataset (E-DAIC) corpus presented in the Audio/Visual Emotion Challenge (AVEC) 2019 Challenge. -
DAIC-WOZ depression dataset
The DAIC-WOZ depression dataset is a benchmark dataset for depression detection, containing audio, video, and text features.
