Depression Management exerting Sentiment Analysis

The paper embarks on predicting the sentiments of a human being and identifies the ones who are facing the state of Depression, following with the cure of this misery using some machine learning algorithms from a scientific perspective. The study suggests that out of every 3 individuals 2 suffers from depression and the major cause of this depression are the THREE VILLAINS of the current generation, and they are “overthinking�, “lack of confidence� and the most important is the “unknown fear�. These 3 factors make a healthy one depressed and their mind feels inferior to everyone. How can someone or some technology stop this from happening? It’s easy, there’s a study which states that over 50% don’t even know why they are a victim of this disease. And this paper is for those individuals who don’t know why they have those “unknown fear� which results in nothing but anxiety. There’s an emerging technology that can predict their cause of depression and even suggest the way to cure this deadly disease and help the victim, live a fruitful life. Nowadays people talk to their phones or their personal computers more than any other individual or even by themselves. So, this research is a modern one and will cover only the current techniques, a regular soul understands the most. The model will keep the track of the contents they post on their social media account, and the pages or handles he/she follows on the respective account. Which will cause a huge dataset about their personal life. The details got from those sources are more genuine and accurate than the data retrieved by communicating with the person himself/herself. The model discussed further will consider all the data obtained by the subscriber and train itself for the work it is assigned for and give the result, whether or not the subscriber is depressed (classification). And also states the reason for depression. Which will help him/her to conquer the depression and can live a happy life ever after.