Anti-Drug Friend: A Chatbot for advocating the awareness of Anti-Drug

• Main Authors: Chih-Chieh Yang, 楊智傑
• Other Authors: 吳曉光
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/vdz5c2

碩士 === 國立中央大學 === 資訊工程學系 === 107 === In recent years, the spread and abuse of drugs has always been the focus of social attention. The spread of drugs can cause serious problems in our society and endanger the lives, property and health of the public. Although there have been many efforts in the domain of anti-drug, the number of guilty persons in drug cases is still rising. Therefore, there is a need to find a way to promote anti-drug awareness. More applications can achieved with an artificial intelligence computer, such as chatbot. There are several advantages to using a chatbot: it can work around the clock, effectively reducing labor costs, can be deployed on social media messaging platforms and easy to use. At present, chatbots on the market cannot be completely applied to the anti-drug domain, so we propose other architectures to improve the anti-drug related QA and to answer more detailed knowledge about drugs. Then, we propose Anti-Drug Friend that utilize chatbot to advocate general knowledge about drugs and deepening anti-drug awareness for people. Currently, our Anti-Drug Friend is already serving on LINE. For an anti-drug domain, our chatbot can answer user: Information about drugs, How to deal with drug problems, Pushing the latest news and information about drugs.