Machine Learning Based Smart Social Media Mining for Disorder Communication Detection

Social Media are gaining momentum in this digital era. Data is being shared on social media on random intervals across the world. The Population of the persons in social media has overcome the population of certain countries of the world, which implicates the growth of the social media at this juncture. Any news or posts in the social media can be so trending that the post get viral within fraction of time, thus attracting the attention of the other persons. Whilst this can be taken in the positive account, precautions have to be taken to avoid the social media being misused. Any news or posts related to hatred, spread of misappropriate content relating to religion, sex, countries or borders, or any other news that can harm or spread hatred towards any community or people has to be stopped, else it may create havoc or damages of property or a brand that can affect the lives and the reputation of many. This paper puts out a novel approach to identify those mental disorders communication from the social media accounts by using machine learning approach.