Big Data Says Food Is Too Sweet

Typography

New research from the Monell Center analyzed nearly 400,000 food reviews posted by Amazon customers to gain real-world insight into the food choices that people make. 

New research from the Monell Center analyzed nearly 400,000 food reviews posted by Amazon customers to gain real-world insight into the food choices that people make. The findings reveal that many people find the foods in today’s marketplace to be too sweet.

“This is the first study of this scale to study food choice beyond the artificial constraints of the laboratory,” said study lead author Danielle Reed, PhD, a behavioral geneticist at Monell. “Sweet was the most frequently mentioned taste quality and the reviewers definitively told us that human food is over-sweetened.”

The study used data posted on an open-source data science site to examine 393,568 unique food reviews of 67,553 products posted by 256,043 Amazon customers over a 10-year period. Using a sophisticated statistical modeling program to identify words related to taste, texture, odor, spiciness, cost, health, and customer service, the scientists computed the number of reviews that mentioned each of these categories.

“Reading and synthesizing almost 400,000 reviews would essentially be impossible for a human team, but recent developments in machine learning gave us the ability to understand both which words are present and also their underlying semantic meaning,” said study coauthor Joel Mainland, PhD, an olfactory neurobiologist at Monell.

Read more at Monell Chemical Senses Center

Image: Dr. Mainland is a behavioral neuroscientist at the Monell Center. (Credit: Monell Center/Conrad Erb)