Measuring happiness of US cities by mining user-generated text in flickr.Com: A pilot analysis

Sukjin You, Joel DesArmo, Soohyung Joo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This poster describes a methodology to numerically represent the happiness of a city by mining user generated terms in Flickr.com. As a pilot analysis, we collected 15,000 text records consisting of titles, tags, descriptions, and comments for the thirty most populous cities in the United States. Parsed text was utilized to calculate happiness scores (H-Score) by matching text extracted from Flickr.com with a happiness index dictionary. In addition, we examined the relationships between the calculated H-scores and real world phenomena including population, crime rate, and climate. Based on this pilot analysis, a future study is planed that involves a large dataset with prediction analysis.

Original languageEnglish
JournalProceedings of the ASIST Annual Meeting
Volume50
Issue number1
DOIs
StatePublished - 2013

Keywords

  • Com
  • Flickr
  • Happiness index
  • Social media mining
  • Text mining

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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