Depression Detection Using Textual Analysis with AI

Abstract

Psychological health plays a very important role in every person’s life. Neglecting this can result in several problems such as stress, depression and etc. These problems need to be detected and controlled at the early stages of life for the better mental health. Depression is considered to be one of the leading causes of mental ill health and it has been found to increase the risk of early deaths. Moreover, it is a major cause of suicidal tendencies and this may to lead significant impairmentin a person’s daily life. Detecting depression is one of the most challenging tasks. Most of the people are totally unaware that theymay have any depression caused due to some stress in the daily life. If at all people are aware of it then some people conceal their depression from everyone. So, an automated system is required which will pick out people who are suffering from depression.A system has been proposed which will analyse features of the person from the text using Artificial intelligence and sentimental analysis and will help in detecting signs of depression if present in them. This system will be trained with text and classify them as neutral or negative based on the word-list to detect depression tendencies.