A novel bio-inspired approach based on Spotted Hyenas for Suicide Prediction

Individuals’ behaviors and feelings may be accessed innew ways because to the usage of social media. We are interested herein the evolution of the emotional states of individual’s captured through microblogging services such as Twitter. Our goal is to predict the onset of suicidal ideation. The suggested algorithm outperforms machine learning algorithms like Nave Bayes (NB), K-Nearest Neighbors (KNN), the Decision Tree (DT), and Support Vector Machine (SVM).The dataset, used in this work emanates to social network in particular twitter named.