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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 47...

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Detalles Bibliográficos
Autores principales: Jere, Shreekant, Patil, Annapurna P., Shidaganti, Ganeshayya I., Aladakatti, Shweta S., Jayannavar, Laxmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487009/
https://www.ncbi.nlm.nih.gov/pubmed/34632022
http://dx.doi.org/10.1016/j.dib.2021.107431
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author Jere, Shreekant
Patil, Annapurna P.
Shidaganti, Ganeshayya I.
Aladakatti, Shweta S.
Jayannavar, Laxmi
author_facet Jere, Shreekant
Patil, Annapurna P.
Shidaganti, Ganeshayya I.
Aladakatti, Shweta S.
Jayannavar, Laxmi
author_sort Jere, Shreekant
collection PubMed
description 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.
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spelling pubmed-84870092021-10-07 Dataset for modeling Beck’s cognitive triad to understand depression Jere, Shreekant Patil, Annapurna P. Shidaganti, Ganeshayya I. Aladakatti, Shweta S. Jayannavar, Laxmi Data Brief Data Article 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. Elsevier 2021-09-25 /pmc/articles/PMC8487009/ /pubmed/34632022 http://dx.doi.org/10.1016/j.dib.2021.107431 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Jere, Shreekant
Patil, Annapurna P.
Shidaganti, Ganeshayya I.
Aladakatti, Shweta S.
Jayannavar, Laxmi
Dataset for modeling Beck’s cognitive triad to understand depression
title Dataset for modeling Beck’s cognitive triad to understand depression
title_full Dataset for modeling Beck’s cognitive triad to understand depression
title_fullStr Dataset for modeling Beck’s cognitive triad to understand depression
title_full_unstemmed Dataset for modeling Beck’s cognitive triad to understand depression
title_short Dataset for modeling Beck’s cognitive triad to understand depression
title_sort dataset for modeling beck’s cognitive triad to understand depression
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487009/
https://www.ncbi.nlm.nih.gov/pubmed/34632022
http://dx.doi.org/10.1016/j.dib.2021.107431
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