A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth

Facebook, Twitter, Instagram, and other social media have emerged as excellent platforms for interacting with friends expressing thoughts, posts, comments, images, videos that express moods, sentiments, feelings. With this, it has become possible to examine user thoughts feelings in network data better understand their perspectives attitudes. However, the analysis of depression based on gained widespread acceptance worldwide, verticals still yet be discovered. The uses Twitter from a publicly available web source this work. To assess accuracy detection, long-short-term memory (LSTM) convolution neural (CNN) techniques were used. This method is both efficient scalable. simulation results shown an 86.23%, which reasonable compared existing methods.