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Depression Detection from Social Media Usage Analysis

Author(s):

Hritik Jadhav , Anantrao Pawar College of Engineering and Research; Abhishek Pasalkar, Anantrao Pawar College of Engineering and Research; Siddhant Patil, Anantrao Pawar College of Engineering and Research; Shivam Lokhande, Anantrao Pawar College of Engineering and Research

Keywords:

Sentimental Analysis, API, Dataset

Abstract

Clients of electronic media a significant part of the time share their perspectives or energetic states through their posts. In this review, we developed a huge learning model to perceive a client's psychological state subject to his/her posting data. To this end, we amassed posts from energetic wellbeing networks in Reddit. By examining and getting posting data made by clients. Our proposed model could absolutely perceive whether a client's post has a spot with a particular mental issue, including sadness, tension, bipolar, negligible social condition, schizophrenia, and compound lopsidedness. We recognize our model can assist with seeing likely losses with mental maladjustment subject to their posts. This concentrate further conversations about the repercussions of our proposed model, which can fill in as a huge instrument for seeing mental flourishing conditions of people who generally speaking utilize electronic media.

Other Details

Paper ID: IJSRDV10I10050
Published in: Volume : 10, Issue : 1
Publication Date: 01/04/2022
Page(s): 33-34

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