Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type. Making use of ...

The most significant drawback to qualitative textual analysis is practical: the sheer scale, time and cognitive effort required to perform tasks like thematic coding. While no LLM can be expected to ...

Neither qualitative nor quantitative analysis is inherently better. Many analysts consider them together. Fundamental analysis relies on using financial ratios drawn from data on corporate ...

This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models (LLMs), to analyze qualitative feedback from participants in these courses. By fine-tuning a pre ...