Papers with Text analysis
Adapting Deep Learning Methods for Mental Health Prediction on Social Media (D19-55)
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| Challenge: | a quarter of the population in Europe suffers from an episode of a mental disorder in their life, according to the World Health Organization . text analysis of rich resources like social media can contribute to deeper understanding of mental health and provide means for their early detection. |
| Approach: | They propose to use a hierarchical attention network to predict if a user suffers from one of nine disorders to adapt a deep neural model to the task. |
| Outcome: | The proposed model outperforms previous benchmarks for four out of nine disorders in a binary classification task on social media. |
Dictionary-Assisted Supervised Contrastive Learning (2022.emnlp-main)
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| Challenge: | specialized dictionaries are used in text analysis to reason with abstract concepts . recent supervised machine learning approaches do not use these dictionary . |
| Approach: | They propose a dictionary-assisted contrastive learning objective that leverages dictionaries when fine-tuning pretrained language models. |
| Outcome: | The proposed approach improves classification performance metrics in few-shot learning settings and social science applications compared to cross-entropy alone and alternative contrastive and data augmentation methods. |