A Comparative Analysis of Historical Culinary Recipes Using Topic Modeling and Data Visualization

Abstract

The proposed method involves analyzing historical culinary recipes through topic modeling and data visualization. It utilizes an unsupervised pipeline, pre-trained language models, and visualization techniques. The method was thoroughly tested on English-language cookbooks and provides information on the evolution of culinary practices.

Keywords

• Topic Modelling
• Historical Culinary Recipes
• Clustering
• Data Visualization
• Large Language Models (LLM)