End-to-end text generator modeling for recipes.

Student: Mincheva Sofia

Supervisor: Oleg Stanislavovich Nagornyy

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Big Data Analysis for Business, Economy, and Society (Master)

Year of Graduation: 2019

Natural text generation provides automate solutions to a wide range of tasks: content creation, performing routine work, visualization alternative. This project is about development of a culinary recipes generator trained on Recipe1M dataset. It includes explanatory data analysis and preprocessing as well as the results of generative models of various architectures, including the most modern ones. The results are compared and made the conclusion about specifics and quality of each one.

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