Making a Case for Social Media Corpus for Detecting Depression

02/02/2019
by   Adil Rajput, et al.
0

The social media platform provides an opportunity to gain valuable insights into user behaviour. Users mimic their internal feelings and emotions in a disinhibited fashion using natural language. Techniques in Natural Language Processing have helped researchers decipher standard documents and cull together inferences from massive amount of data. A representative corpus is a prerequisite for NLP and one of the challenges we face today is the non-standard and noisy language that exists on the internet. Our work focuses on building a corpus from social media that is focused on detecting mental illness. We use depression as a case study and demonstrate the effectiveness of using such a corpus for helping practitioners detect such cases. Our results show a high correlation between our Social Media Corpus and the standard corpus for depression.

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

03/07/2022

RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media

With the development of social media, various rumors can be easily sprea...
11/03/2020

Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores

Computational research on mental health disorders from written texts cov...
12/03/2021

Multi-modal application: Image Memes Generation

Meme is an interesting word. Internet memes offer unique insights into t...
06/10/2019

AGRR-2019: A Corpus for Gapping Resolution in Russian

This paper provides a comprehensive overview of the gapping dataset for ...
02/02/2019

Natural Language Processing, Sentiment Analysis and Clinical Analytics

Recent advances in Big Data has prompted health care practitioners to ut...
07/31/2021

A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media

In this work, we provide an extensive part-of-speech analysis of the dis...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.