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Detecting Illegal Drug Usage in Social Media using Support Vector Machines and Deep Neural Networks

Our objective in this project is to develop a system for identifying probable illegal drug users and distributors using social media. The primary structure of our approach can be separated very generally into two classification problems, one for identifying indications of drug use in text, and another to identify illegal drugs and drug paraphernalia in images. The broader impacts of this project are quite straightforward in the direct application of law enforcement. It would also provide potentially useful insight into central hubs of traffic through geo-tagged information. Within the field of computer science this project will require the creation of an tagged image database, which will have broader uses as an evaluation metric for various object recognition systems. Additionally any advancements made in object detection would be applicable to many diverse projects requiring such capabilities.