foodComputing

A study by colleague Maija Kale (University of Latvia) - https://github.com/Maijyta & Ebenezer Agbozo (Ural Federal University) on Complexity of food consumption: deconstructing recipes.

This algorithm is the basis for our presentation at the 14th International Symposium of Cognition, Logic and Communication "Linking Senses: Cross-Modality in Perceptual Domains across Cultures"

Code is run in R

The following libraries are essential to running the algorithms

• library(tidyverse)
• library(tidytext)
• library(topicmodels)
• library(tm)
• library(SnowballC)
• library(dplyr)
• library(ggplot2)
• library(dplyr)
• library(stringr)
• library(sqldf)
• library(tidyr)
• library(udpipe)

###Datasets:

1. Mexican Cusisines (Mexican.json)
2. American Cusisines (American.json)

Publication: http://ceur-ws.org/Vol-2612/paper4.pdf arXiv: https://arxiv.org/abs/2007.05552

Dataset source : Yummly 66k (W. Min, B. K. Bao, S. Mei, Y. Zhu, Y. Rui, and S. Jiang. 2018a. You are what you eat: Exploring rich recipe information for cross-region food analysis. IEEE Transactions on Multimedia 20, 4 (2018), 950–964.) http://isia.ict.ac.cn/dataset/Yummly-66K.html.

http://123.57.42.89/FoodComputing__Dataset.html https://github.com/minweiqing/You-Are-What-You-Eat-Exploring-Rich-Recipe-Information-for-Cross-Region-Food-Analysis