mlsanityData to 7 Oct 2026

Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health

arXiv 2306.04059 ↗First posted 6 Jun 2023cs.CL cs.CYcited by 3

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 6 Jun 2023.

Builds on

8 of 19 references.

References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2019EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Taskscited by 800
  5. 2015Improving Neural Machine Translation Models with Monolingual Datacited by 784
  6. 2022Generating Training Data with Language Models: Towards Zero-Shot Language Understandingcited by 199
  7. 2023Emotion fusion for mental illness detection from social media: A surveycited by 13
  8. 2021Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping reviewcited by 8

Built on by

Cited by year

Citing papers per year: 2024: 3.

3 papers.

  1. 2024Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challengescited by 30
  2. 2024WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensionscited by 10
  3. 2024Clinical Insights: A Comprehensive Review of Language Models in Medicinecited by 6