Assessment Of The Prevalence Of Suicide Among Young Adults Using Machine Learning

Due to the high rate of suicide all over world resulting in about 800,000 people dying by each year. The instances where victims constantly publish messages deliberately express their feelings on social media, there is need address issues, and how can be prevented. Therefore, as a solution this, create model that classifies these users" media posts identify users with suicidal ideations, so prevent future cases getting identified necessary help needed. study adopted binary classification suicide-related tweet respect age 15 up till 29 years, document-level basis. A machine learning approach was employed solve problem predictions. dataset generated from Twitter API.
 It observed issues are rampant among young adult, which urgent attention. paper recommended timely intervention should provided reduce preserve adults.