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An ABC approach for depression signs on social networks posts

Author

Listed:
  • Amina Madani
  • Fatima Boumahdi
  • Anfel Boukenaoui
  • Mohamed Chaouki Kritli
  • Asma Ghribi
  • Fatma Limani
  • Hamza Hentabli

Abstract

Mental health is considered as one of today's world's most prominent plagues. In this paper, we aim to solve one of mental health's biggest issues, which is depression. Using the potential of social media platforms, our ABC approach is based on a combination of different deep learning models that are autoencoder, BiLSTM and CNN. We test our approach and discuss our experiments on three datasets of Reddit posts provided by 2019, 2020 and 2021 Conference and Labs of the Evaluation Forum (CLEF).

Suggested Citation

  • Amina Madani & Fatima Boumahdi & Anfel Boukenaoui & Mohamed Chaouki Kritli & Asma Ghribi & Fatma Limani & Hamza Hentabli, 2023. "An ABC approach for depression signs on social networks posts," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 15(3), pages 275-296.
    • Handle: RePEc:ids:ijdmmm:v:15:y:2023:i:3:p:275-296
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