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IIITDWD@LT-EDI-2023 Unveiling Depression: Using pre-trained language models for harnessing domain-specific features and context information

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Depression is a global health crisis affecting millions. Workplace stress and unhealthy habits have risen, leading to more people with depressive symptoms. Early detection and prediction of depression are essential for timely intervention and support. Unfortunately, social stigma prevents many from seeking help, making early detection difficult. Therefore, alternative strategies for depression prediction, such as analysing social media posts, are being explored. LT-EDI@RANLP held a shared task to promote research in this field. Our team participated in the shared task and secured 21st rank with a macro F1 score of 0.36. This article summarises the model used in the shared task.

Original languageEnglish
Title of host publicationLTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings
EditorsBharathi Raja Chakravarthi, B. Bharathi, Joephine Griffith, Kalika Bali, Paul Buitelaar
PublisherIncoma Ltd
Pages117-123
Number of pages7
ISBN (Electronic)9789544520847
DOIs
Publication statusPublished - 2023
Event3rd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2023 - Varna, Bulgaria
Duration: 07-09-2023 → …

Publication series

NameLTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings

Conference

Conference3rd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2023
Country/TerritoryBulgaria
CityVarna
Period07-09-23 → …

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Language and Linguistics
  • Computational Theory and Mathematics

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