This project aims to build a predictive model to detect suicidal intent in social media posts, and to integrate the model into a functional mental health chatbot.

Dec 5, 2021 · In this article, I will be sharing with you on how to build a suicidal text detection model and incorporating it into a functional mental health chatbot — building intimate …

This project aims to provide a machine learning solution for detecting sequences of words indicative of suicidality in text. By utilizing the ELECTRA architecture and fine-tuning on a …

A convolutional neural network and Bidirectional long short-term memory (CNN–BiLSTM) model and the machine learning XGBoost model were used to classify social posts as suicidal or non …

This project describes content analysis of text with to identify suicidal tendencies and types. This article also describes how to make a sentence classifier that uses a neural network created …

This project aims to build a predictive model to detect suicidal intent in social media posts, and to integrate the model into a functional mental health chatbot.

Oct 31, 2023 · The advent of social media has transformed the way we communicate and connect, enabling individuals worldwide to instantly and openly interact with friends, family, …

This project aims to develop a system that can detect suicidal ideation using Natural Language Processing (NLP) and Machine Learning (ML) models, including Word Embedding Layers …

This manuscript investigates the efficacy of machine. learning (ML) and deep learning (DL) algorithms, augmented by Natural Language Processing (NLP) methodologies in identifying …

May 30, 2024 · In this work we have focused on suicidal ideation detection using supervised machine learning algorithm such as logistic regression and decision tree classifier, this study …