Predictive analysis of drug reviews using Gibbs sampling topic modeling

Technology has made man not only to reside as an intellectual but some daily activities and use of intoxicants made to think over his health some of those who want to hide their actual identity of consuming drugs by the antidote. Consuming drugs is now-a-days a major issue in the current society which is spreading as a virus from a teenager to an old person in order to make an effort of identifying the individual's health as well as his previous habits related to the major intoxicants which are specified by the world health organization (WHO) to the world wide nations for the drug free future. This can be predicted by analyzing Latent Semantic Dirichlet Allocation (LSDA) Gibbs sampling is the popular topic modeling using numerous applications. We implemented in this paper LDA Gibbs sampling with sentiment analysis is used for reviewing words. Genome sequence of the ancestral or blood relation as well as the normal DNA/genetic sequence of normal human which can assist human to determining the level of intoxication, health prediction such as expectancy of aiding to his mental health for facilitating an individual to lead the life in normal position. Our proposed work gives details about abnormal genetic behavior with effecting unwanted problems by proving the measures or the concerns to be taken.