Behaviour Analysis Using Word Embedding & Machine Learning on Social Media

In today's world of technology AI has become immersing part of our life. Human interaction with machines has been escalating drastically with the time period. As a result, People started expressing their thoughts over social media. Along with this human and machine interaction, it has opened new ways of solutions to help improve our society. With this proposed tool in this paper we have introduced modified way of using word embedding to convert text into numeric form by preserving its context. To learn behaviour pattern of individual person with Word2vec model combined with Machine learning algorithm to help detect changes in behaviour of a person over period of time. This research project will be of immense benefit to Psychologist/Psychiatrist and help government as it analyzes and monitor a person's mental health and will also help in classifying the normal users from the non-normal users at early stages to shortlist the victims of psychological problem to help focus government organization for their treatment. These organization can reach out those people who don't want to visit a psychiatrist because they see it as some kind of a taboo.