Location based Human Behaviour Analysis on Products or Events

From corporate decisions like calculating the perfect target audience to political decisions like designing an act for citizens of a state, it has always been tried to predict how people of a certain community or location will react to a particular product or event. People of different regions react to a similar situation in a different manner; a topic may be a sensitive issue in one location and may seem to be like a normal one in other. Several crimes, protests and product failures can be avoided if they could simply predict the reaction of the target audience (population of a particular location) in a certain situation. In this scenario, this research work aims to analyze the behavior of people based on a different location to analyze the impact of the products/events which are to be launched. Hence, architecture is proposed to analyze how people of a given location respond to a particular event/product and this is achieved by integrating sentiment analysis, location-based data analysis, natural language processing techniques, and machine learning approach. In the end, the analysis results are used to optimize decision making and problem-solving.