Autor: Pablo Romero, María del P.; Pozo-Barajas, R.; Molleda-Jimena, G.
Datos de publicación: Anatolia, 2026, 1-19.
https://doi.org/10.1080/13032917.2026.2621319
Abstract
This study analyzes the effect of weather and extreme weather on the sentiments and emotions expressed in 135,622 reviews posted on the Airbnb platform by tourists who visited Seville between 2011 and 2022. Initially, sentiment and emotion detection analysis are undertaken to ascertain the sentiments and eight basic emotions expressed by tourists. Secondly, logit and ordered logistic regression models are estimated to examine the effect of weather on the probability of expressing these sentiments and emotions. The findings indicate that weather variables exert a non-linear influence on tourists’ sentiments and emotions. The findings indicate that high temperatures exert a more substantial influence on tourists than low temperatures and precipitation.
Keywords
- Sentiment analysis
- Emotion detection
- Weather variables
- Logistic regression
- Non-linear effects