Sentimental Analysis to Detect Mental Illness

“Mental health is not a destination, it is a Process. It's all about how you drive, not where you going”. Nowadays, Depression is a common problem worldwide, with more than 264 million people affected with depression. Usually it can cause the affected person to suffer greatly and function poorly at work, at school and in the family. At its worst case, it can lead to commit suicide. In order to tackle this we have proposed Sentimental analysis of the social media users. The number of active OSN(online social network) users worldwide has grown tremendously in the past years. Social media monitoring tools use it to give their users insights about how the public feels in regard to their business, products, or topics of interest. Social media sentiment analysis applies Machine learning algorithms to analyze online mentions and determine the feelings behind the post. With technology's increasing capabilities, sentiment analysis is becoming a more utilized tool for businesses.