CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts

Muskan Garg, Chandni Saxena, Veena Krishnan, Ruchi Joshi, Sriparna Saha +2 more
7/11/2022
cs.CL

Official code: drmuskangarg/CAMS (11 stars, last commit 2022-12-25).

Abstract

Research community has witnessed substantial growth in the detection of mental health issues and their associated reasons from analysis of social media. We introduce a new dataset for Causal Analysis of Mental health issues in Social media posts (CAMS). Our contributions for causal analysis are two-fold: causal interpretation and causal categorization. We introduce an annotation schema for this task of causal analysis. We demonstrate the efficacy of our schema on two different datasets: (i) crawling and annotating 3155 Reddit posts and (ii) re-annotating the publicly available SDCNL dataset of 1896 instances for interpretable causal analysis. We further combine these into the CAMS dataset and make this resource publicly available along with associated source code: https://github.com/drmuskangarg/CAMS. We present experimental results of models learned from CAMS dataset and demonstrate that a classic Logistic Regression model outperforms the next best (CNN-LSTM) model by 4.9\% accuracy.

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Code Implementations(1)

drmuskangarg/CAMSOfficial100%

This repository is created to support the paper 'CAMS: An Annotated Corpus for Causal Analysis of Mental health on Social media' which is submitted to Language Resources and Evaluation Conference 2022 we introduce a new dataset for Causal Analysis of Mental health illness in Social media posts (CAMS). We first introduce the annotation schema for this task of causal analysis. The causal analysis comprises two types of annotations, viz, causal interpretation and causal categorization. We show the efficacy of our scheme in two ways: (i) crawling and annotating 3155 Reddit data and (ii) re-annotate the publicly available SDCNL dataset of 1896 instances for interpretable causal analysis. We further combine them as CAMS dataset.

110Python, Jupyter NotebookJan 8, 20223 years ago
causal-analysismental-health-disorderssocial-media-posts

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Cite this paper

@article{garg2022cams,
  title  = {CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts},
  author = {Muskan Garg and Chandni Saxena and Veena Krishnan and Ruchi Joshi and Sriparna Saha and Vijay Mago and Bonnie J Dorr},
  year   = {2022},
  eprint = {2207.04674},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.04674v1}
}

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