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

Autor:	Maria Teresa Artese, Isabella Gagliardi
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Topic Modelling Historical Culinary Recipes Clustering Data Visualization Large Language Models (LLM) Information technology T58.5-58.64
Zdroj:	Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 14 (2024)
Druh dokumentu:	article
ISSN:	1314-4006 2535-0366
DOI:	10.55630/dipp.2024.14.15
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/31084b70d49e4c2798f33343627f47a4 Zobrazit plný text záznamu View record in DOAJ