SuicideGuard: An NLP-Based Chrome Extension for Detecting Suicidal Thoughts in Bengali
The rate of suicide due to depression among youngsters is ever on the rise. As they are the highest users of social media like Facebook and Twitter, they tend to share their feelings on those platforms. Even during mental breakdowns or while having thoughts about self-harm, they often post statuses that sometimes reflect their inner emotions but are mostly neglected by friends and families. This paper develops a chrome extension ‘SuicideGuard’ which is a groundbreaking solution to identify suicidal thoughts. It is a tool to help Bengali-speaking individuals by mining out depressions from their posts, as it has been trained on 2,590 Bangla data. This immensely useful system has been trained with the BERT model with 92% accuracy after analysing models like BiLSTM, and XLM-RoBERTa which can accurately predict suicidal thoughts in real-time and will potentially save lives. It will also be beneficial for a psychiatrist as it helps to understand the severity of their patient’s anxiety, and even aid the individuals to support their friends and family going through mental instability.
Authors
- Natasha Tanzila Monalisa (ORCID: https://orcid.org/0000-0002-6550-0917)
- Shinthi Tasnim Himi (ORCID: https://orcid.org/0000-0001-7249-954X)
- Sanjida Akter (ORCID: https://orcid.org/0009-0001-9165-9155)
- Rashedul Islam Jisan
- Md. Mashiur Rahman (ORCID: https://orcid.org/0000-0003-0499-0374)
- Nahida Fatme
Institutions
- North South University (BD)
- Bangladesh University of Business and Technology (BD)
- Jahangirnagar University (BD)
- Northern University Bangladesh (BD)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/iccit64611.2024.11022363
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00