Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health.
Proc Conf Assoc Comput Linguist Meet
; 2023: 306-312, 2023 Jul.
Article
en En
| MEDLINE
| ID: mdl-38384674
ABSTRACT
Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text. As the distribution of WD on social media data is intrinsically imbalanced, we experiment the generative NLP models for data augmentation to enable further improvement in the pre-screening task of classifying WD. To this end, we propose a simple yet effective data augmentation approach through prompt-based Generative NLP models, and evaluate the ROUGE scores and syntactic/semantic similarity among existing interpretations and augmented data. Our approach with ChatGPT model surpasses all the other methods and achieves improvement over baselines such as Easy-Data Augmentation and Backtranslation. Introducing data augmentation to generate more training samples and balanced dataset, results in the improved F-score and the Matthew's Correlation Coefficient for upto 13.11% and 15.95%, respectively.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Proc Conf Assoc Comput Linguist Meet
Año:
2023
Tipo del documento:
Article
País de afiliación:
Canadá
Pais de publicación:
Estados Unidos