A Text Analysis Approach for Cooking Recipe Classification Based on Brazilian Portuguese Documents

• Larissa Britto Universidade Federal Rural de Pernambuco
• Emilia Oliveira Universidade Federal Rural de Pernambuco
• Luciano Pacífico Universidade Federal Rural de Pernambuco
• Teresa Ludermir Universidade Federal de Pernambuco

DOI: https://doi.org/10.5753/eniac.2019.9304

Abstract

In this work, the cooking recipe classification problem is evaluated by means of the development of a new computational tool for Brazilian Portuguese text analysis. The proposed tool will be a fundamental piece to the development of more precise recipe recommendation systems for Brazilian people, as a manner to motivate such people to practice healthier eating habits. A new data set, obtained from Brazilian recipe websites, is proposed and tested by the use of classification algorithms from Machine Learning literature. Experiments have been performed towards the selection of the best classifiers to compose the recognition modules for the recipe recommendation systems to be developed as future works.

Keywords: Automatic Recipe Classification, Recipe Recommending Systems, Supervised Learning, Text Analysis

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