IEEE

Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques

Abstract: In today’s digital world, social media platforms generate a plethora of unstructured information. However, for low-resource languages like Urdu, there is a scarcity of well-structured data ...
IEEE

Comparison of the Performance of Transformer Text Summarization Models in Indonesian Language: PEGASUS and GPT-2

Abstract: Manual text summarization is impractical and time-consuming. Therefore, the development of automatic text summarizers has become an interesting topic in Natural Language Processing (NLP).
Journal of Medical Internet Research

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

The model performance comparison involved the use of chain-of-thought and zero-shot prompting to analyze the text structure and content. Results: We used 428 diaries from 91 participants; GPT-3.5 fine ...