Dataset for modeling Beck's cognitive triad to understand depression.

This article presents data to model Beck's cognitive triad to understand the subjective symptoms of depression, such as negative view of self, future, and world. The Cognitive Triad Dataset (CTD) comprises 5886 messages, 600 from the Time-to-Change blog, 580 from Beyond Blue personal stories, and 4706 from Twitter. The data were manually labeled by skilled annotators. This data is divided into six categories: self-positive, world-positive, future-positive, self-negative, world-negative, and future-negative. The Cognitive Triad Dataset was evaluated on two subtasks: aspect detection and sentiment classification on given aspects. The dataset will aid in the comprehension of Beck's Cognitive Triad Inventory (CTI) items in a person's social media posts. © 2021 The Author(s).

Citation

Shreekant Jere, Annapurna P Patil, Ganeshayya I Shidaganti, Shweta S Aladakatti, Laxmi Jayannavar. Dataset for modeling Beck's cognitive triad to understand depression. Data in brief. 2021 Oct;38:107431

PMID: 34632022

search → result