Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learning Approaches
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69982-5_9
Reference22 articles.
1. Haque, R., et al.: A comparative analysis on suicidal ideation detection using NLP, machine, and deep learning. Technologies 10(3), 57 (2022)
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3. Desmet, B., Hoste, V.: Emotion detection in suicide notes. Expert Syst. Appl. 40(16), 6351–6358 (2013)
4. Haque, F., et al.: A transformer-based approach to detect suicidal ideation using pre-trained language models. In: 2020 23rd International Conference on Computer and Information Technology (ICCIT). IEEE (2020)
5. Matero, M., et al.: Suicide risk assessment with multi-level dual-context language and BERT. In: Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology (2019)
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