Suicide Detection from different languages using Python
-
Updated
Feb 8, 2024 - Python
Suicide Detection from different languages using Python
This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.
A pre-trained transfer model based on distilbert-base-uncased for detecting textual suicidal thoughts, utilizing Python
A RESTful API that embeds classification with confidence of textual suicidal thoughts, conducted on a previously compiled transformer model, utilizing Python
A web application that classifies an entered text into either suicidal or non-suicidal, utilizing Flutter
Suicide Ideation Detection in Indonesian Language Twitter Posts Using IndoBERT and LSTM/CNN
A deep learning model for detecting suicidal tendencies in text using LSTM and GloVe embeddings. Includes interactive text input with IPyWidgets for real-time analysis.
Add a description, image, and links to the suicide-detection topic page so that developers can more easily learn about it.
To associate your repository with the suicide-detection topic, visit your repo's landing page and select "manage topics."