# What Food Do We Tweet about on a Rainy Day?

arXiv: https://arxiv.org/abs/2304.05041 · HTML: https://mlsanity.com/paper/2304.05041/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 13 references that are in the map.
- First posted on arXiv 11 Apr 2023.

## Builds on (most cited first, 3 of 3)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [A Survey on Food Computing](https://mlsanity.com/paper/1808.07202/) (2018)
- [What Can We Learn From Almost a Decade of Food Tweets](https://mlsanity.com/paper/2007.05194/) (2020)

## Built on by (most cited first, 1 of 1)

- [Annotations for Exploring Food Tweets From Multiple Aspects](https://mlsanity.com/paper/2412.06179/) (2024)

## Abstract (arXiv)

Food choice is a complex phenomenon shaped by factors such as taste, ambience, culture or weather. In this paper, we explore food-related tweeting in different weather conditions. We inspect a Latvian food tweet dataset spanning the past decade in conjunction with a weather observation dataset consisting of average temperature, precipitation, and other phenomena. We find which weather conditions lead to specific food information sharing; automatically classify tweet sentiment and discuss how it changes depending on the weather. This research contributes to the growing area of large-scale social network data understanding of food consumers' choices and perceptions.