Identification of Drug-Related Chat Content Based on Artificial Neural Network

In recent years, with the popularity of Internet technology, criminals have used the Internet as a tool and platform for drug crimes, making online drug crime a new form of drug crime. The identification of network-related drug chat content is of great significance for preventing and combating cybercrime crimes. This paper collects 5,000 chat records and combines them with decision trees through neural networks to establish an efficient identification method to provide a reference for effective prevention and combat against cybercrime crimes.