ABSTRACT
Anxiety and depression are two major public health issues prevailing in India. This chapter provides a solution to reducing anxiety and mild depression among the teens owing to study and exam pressure. Probabilistic topic models concisely explain a large set of manuscripts with smaller number of groups/categories over the words. Neural networks are highly interconnected networks consisting of simple processing elements that dynamically process information based on external inputs and previous elements output. The watchword spotting strategy can be depicted as the issue of discovering events of catchphrases from a given content record. Recognizing feelings in view of related watchwords is simple to utilize and a direct technique. The chapter describes some lexical resources that has been assembled by many researchers in order to support and provide effective computing along with the suggested methods. To give a response to multiple users with issues of anxiety and mild depression caused due to stress, a strong hardware with multithreading is needed.
