All Insights Report Anhedonia-Related Wording in Social Media: An Application of Natural Language Processing

    Anhedonia-Related Wording in Social Media: An Application of Natural Language Processing

    RWE, HEOR & Evidence Synthesis

    Anhedonia-Related Wording in Social Media: An Application of Natural Language Processing

    Axtria used natural language processing techniques to analyze posts from mental health subreddits on Reddit to identify and classify mental disorders, particularly focusing on anhedonia, by applying machine learning algorithms to 9,887 posts from 2017 to 2022.

    Download Report
    Anhedonia-Related Wording in Social Media: An Application of Natural Language Processing

    Axtria collected posts from various mental health subreddits on Reddit to identify users' mental disorders, focusing on anhedonia, depression, anxiety, bipolar disorder, and borderline personality disorder. Anhedonia, the loss of pleasure in previously enjoyable activities, is challenging to diagnose using traditional methods. To improve diagnosis, Axtria used natural language processing (NLP) techniques to develop a proof-of-concept for classifying anhedonia separately from other depression types. They downloaded all posts from the Reddit anhedonia forum between 2017 and 2022 and prepared the data using tokenization, stop-word removal, and lemmatization. Six unsupervised machine learning algorithms, including sentiment analyses and clustering algorithms, were applied to identify patterns in 9,887 posts, which were then interpreted by human analysts.

    This report is a poster presentation of Axtria from ISPOR 2024.

    Contact us at connect@axtria.com with any questions.

    Complete the brief form to download the white paper

    Recommended insights

     An Application of Natural Language Processing

    Report

    The Inflation Reduction Act and Its Implications on Real-World Evidence

     An Application of Natural Language Processing

    Report

    The Use of Natural Language Processing in Literature Reviews

     An Application of Natural Language Processing

    Report

    Novel Drug Approvals by the U.S. Food and Drug Administration in Rare Diseases: Findings From 2020–2023