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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Twitter Sentiment Geographical Index Dataset.

Yuchen Chai1, Devika Kakkar2, Juan Palacios1

  • 1Sustainable Urbanization Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

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This study introduces the Twitter Sentiment Geographical Index (TSGI), a global database of geotagged tweets. TSGI offers location-specific sentiment data to help measure Subjective Well-Being (SWB) and inform policy.

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Area of Science:

  • Computational social science
  • Geospatial analysis
  • Natural language processing

Background:

  • Subjective Well-Being (SWB) is a key target for global development.
  • Governments increasingly use SWB indicators alongside traditional metrics.
  • A need exists for large-scale, location-specific sentiment data.

Purpose of the Study:

  • Introduce the Twitter Sentiment Geographical Index (TSGI) database.
  • Provide a comprehensive, open-source resource for sentiment analysis.
  • Facilitate research on the geographical distribution of public sentiment.

Main Methods:

  • Utilized deep learning and natural language processing.
  • Analyzed 4.3 billion geotagged tweets globally since 2019.
  • Developed multilingual sentiment measurements at the admin-2 level.

Main Results:

  • Created the TSGI, the most extensive Twitter sentiment database to date.
  • Covered 164 countries with daily sentiment frequency.
  • Established a web platform for accessing TSGI data.

Conclusions:

  • TSGI offers a novel tool for understanding geographical sentiment.
  • The database supports research into Subjective Well-Being (SWB) indicators.
  • Open access to TSGI data promotes wider scientific inquiry.