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Characterizing Geographic Variation in Well-Being Using Tweets
Hansen Andrew Schwartz
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Oznake: computer science;social media;internet, world wide web;machine learning
The language used in tweets from 1,300 different US counties was found to be predictive of the subjective well-being of people living in those counties as measured by representative surveys. Topics, sets of co-occurring words derived from the tweets using LDA, improved accuracy in predicting life sa ...
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 1
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