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IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
Although some approaches have attempted to address this problem through single-stage clustering as an intermediate training step coupled with a pre-trained language model, which generates pseudo-labels to improve classification, these methods are often error-prone due to the limitations of the clustering algorithms.
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
Twitter is currently a popular online social media platform which allows users to share their user-generated content.
Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media
Model interpretability has become important to engenders appropriate user trust by providing the insight into the model prediction.
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