Introduction
Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments worldwide are incorporating subjective well-being (SWB) indicators into their agenda to complement traditional objective development and economic metrics. In this study, we develop the Twitter sentiment geographical index (TSGI), a proxy for SWB by applying natural language processing techniques on a comprehensive archive of 7.4 billion geotagged tweets. In contrast to the previous works focusing on SWB,...

The Harvard Center for Geographic Analysis (CGA) maintains the Geotweet Archive, a global record of tweets spanning time, geography, and language. The primary purpose of the Archive is to make a comprehensive collection of geo-located tweets available to the academic research community.

The Archive extends from 2010 to the present and is updated daily. The number of tweets in the collection totals approximately 10 billion, and it is stored on ...

In collaboration with OmniSci Technologies and the NSF Spatiotemporal Innovation Center, and in close coordination with Harvard Research Computing (FASRC), the CGA has deployed OmniSci Immerse and PostGIS on ...