Depression Detection Using Optical Characteristic Recognition and Natural Language Processing in SNS

Abstract

Web is growing apace in mining concerns using depression detection method form sources such as news, blogs and which also includes product reviews considering the earlier cases the responses given are quite difficult to determine. A technique using Natural Language Processing and Optical Character Recognition. Our experiments are to include that an entity scores that are determined using are statistically different from any other approaches and the quality of the approach is completely independent from any other approaches and scores can be determined reports can be provided for health subscription. Many researchers have demonstrated that by user generated content in a context is a method to determining people’s mental health levels. The research is to find out the SNS by user post, which helps in classifying the mental health levels of the user. Keywords—UGC-User generated content or user-created content, Optical Characteristic Recognition, Natural Language Processing.