Detection and Classification of Cognitive Distortions: A Literature Review

I. Putu Gede Hendra Suputra*, Linawati Linawati, Nyoman Putra Sastra, Gede Sukadarmika, Ngurah Agus Sanjaya Er, Diana Purwitasari, I. Made Agus Setiawan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Various machine learning and deep learning approaches have recently been applied to detecting and classifying cognitive distortions (CD). However, there are several challenges in detecting and classifying cognitive distortions. This paper outlines current research in CD detection and classification, challenges and problems. The first challenge lies in the limited availability and accessibility of public datasets. Another issue relates to CD domains, which involve short text data that may only partially represent a particular CD category. The performance of CD detection model has a relatively good value, while in general, the classification process has not shown promising results. One model that works well and consistently is BERT, both in terms of vector representation and as a classifier. In addition to the model, dataset availability and reliability remains an important issues to address.

Original languageEnglish
Title of host publicationICSGTEIS 2023 - 2023 International Conference on Smart-Green Technology in Electrical and Information Systems
Subtitle of host publicationLeveraging Sustainable Technologies Towards Energy Transition and Net Zero Emission, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-171
Number of pages6
ISBN (Electronic)9798350382822
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Smart-Green Technology in Electrical and Information Systems, ICSGTEIS 2023 - Hybrid, Bali, Indonesia
Duration: 2 Nov 20234 Nov 2023

Publication series

NameProceedings - International Conference on Smart-Green Technology in Electrical and Information Systems, ICSGTEIS
ISSN (Print)2831-3992
ISSN (Electronic)2831-400X

Conference

Conference2023 International Conference on Smart-Green Technology in Electrical and Information Systems, ICSGTEIS 2023
Country/TerritoryIndonesia
CityHybrid, Bali
Period2/11/234/11/23

Keywords

  • Cognitive Distortion
  • Deep Learning
  • Machine Learning
  • Text Classification

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