Twitter Sentiment Geographical Index Dataset

This study introduces the Twitter Sentiment Geographical Index (TSGI), a location-specific expressed sentiment database with SWB implications, derived through deep-learning-based natural language processing techniques applied to 4.3 billion geotagged tweets worldwide since 2019. The open-source TSGI database is the most extensive Twitter sentiment resource to date, encompassing multilingual sentiment measurements across 164 countries at the admin-2 (county/city) level and daily frequency. Based on the TSGI database, a web platform has been created to allow researchers to access the sentiment indices of selected regions in the given time period. Subjective Well-Being (SWB) is commonly defined as the combination of reflective cognitive judgments and emotional feelings in ongoing life, and is increasingly used by researchers and policymakers as measures of life satisfaction to complement traditional objective development and economic metrics.