Detection of Depression Symptoms Using Chatbots Based on Machine Learning

Abstract

Nowadays depression is a relevant issue due the high level of stressobserved even in students and young people. Moreover, the detectionof the depression symptons is a complex task, since eachperson has different behaviors and reactions in these scenarios. Thiswork address the detection of depression symptoms using chatbotsbased on machine learning algorithms. The use of chatbots enablesa smooth approach for shy and introspective people, whose donot feel comfortable for talking to parents, psychologists or medicalprofessionals in general. To this end, an App for smart-phoneis proposed in order to perform a talk with a person, and verifyif some depression symptoms are observed based using machinelearning algorithms. The initial results show that the proposedmodel has a good accuracy on simulated scenarios, where basictalks are performed by the chatbot.