Open AccessMeasuring happiness of US cities by mining user‐generated text in Flickr.com: A pilot analysis
Author(s) -
You Sukjin,
DesArmo Joel,
Joo Soohyung
Publication year - 2013
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14505001167
Subject(s) - happiness , parsing , matching (statistics) , index (typography) , population , information retrieval , computer science , geography , natural language processing , statistics , psychology , world wide web , mathematics , demography , sociology , social psychology
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.