Apr 27, 2020 · Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Kokil Jaidka https ...
May 12, 2020 · Using a sample of 1.53 billion geotagged English tweets, we provide a systematic evaluation of word-level and data-driven methods for text ...
Apr 28, 2020 · Using a sample of 1.53 billion geotagged English tweets, we provide a systematic evaluation of word-level and data-driven methods for text ...
It is found that data-driven machine learning-based methods offer accurate and robust measurements of regional well-being across the United States when ...
Abstract. Spatial aggregation of Twitter language may make it possible to monitor the subjective well-being of populations on a large scale.
Oct 24, 2019 · Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods.
We compared Twitter-based county-level estimates with well-being measurements provided by the Gallup-Sharecare Well-Being Index survey through 1.73 million ...
Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods. Overview ...
Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy ...