Open AccessDetection and Analysis of Depression Level Using Social Media
Author(s) -
Pragati J. Dhengale
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37359
Subject(s) - statistic , victimisation , social media , depression (economics) , computer science , process (computing) , psychology , task (project management) , cognitive psychology , statistics , world wide web , poison control , human factors and ergonomics , engineering , mathematics , medicine , environmental health , systems engineering , economics , macroeconomics , operating system
Detection of depression through messages sent by a user on social media are often a fancy task because of the recognition and trends in them. In recent years, messages and social media has over up being a really shut illustration of a person’s life and his status. This is often an enormous stockpile of information a couple of person’s behaviour and might be used for detection of varied mental sicknesses (depression in our case) victimisation tongue process. This project is regarding constructing a model victimisation NLP to predict such mental disorders. Short-term memory networks square measure well-suited to classifying, process and creating predictions supported statistic knowledge, since there are often lags of unknown length between necessary events during a statistic.