<p>These show how varies for all US cities considered versus the cities Napa, California (left) and Beaumont, Texas (right), having the highest and lowest respectively. Words are ranked in order of decreasing percentage contribution to the overall average happiness difference . The symbols indicate whether a word is relatively happy or sad compared to for the entire US (text ), while the arrows indicate whether the word was used more or less in the text for each city than in . The left inset panel shows how the ranked LabMT words combine in sum. The four circles at bottom right show the total contribution of the four kinds of words (, , , ). Relative text size is indicated by the areas of the gray squares.</p
<p>Each point represents an individual tweet and is colored by the average word happiness of nearby...
We conduct a detailed investigation of correlations between real-time expressions of individuals mad...
The language used in tweets from 1,300 different US counties was found to be predictive of the subje...
<p>The reference text is roughly 100 billion tweets from September 2008 to July 2014. The comparison...
<p>Scores were calculated using (1) and the LabMT word list. The full list of cities can be found in...
<div><p>We conduct a detailed investigation of correlations between real-time expressions of individ...
We conduct a detailed investigation of correlations between real-time expressions of individuals mad...
<p>The word shift graphs compare the climate tweets to unfiltered tweets on the day of the natural d...
Where we live affects all aspects of our life and thus our happiness. In recent years, and now for m...
<p>The clustergram shows Cross-correlations between word frequency distributions for the 40 cities w...
<p>Temporal and geographic variation in emotions expressed by Facebook users in 2011 as measured by ...
This study uses the World Happiness Index and WalletHub’s rankings of US cities’ happiness levels as...
The effect of living in a less urban area on the probability of being happy is estimated. It is show...
<p>Letters represent the differences between cities, based on the Generalized Linear Model analysis:...
<p>Average happiness ratings for 10,222 words were obtained using Mechanical Turk with 50 evaluation...
<p>Each point represents an individual tweet and is colored by the average word happiness of nearby...
We conduct a detailed investigation of correlations between real-time expressions of individuals mad...
The language used in tweets from 1,300 different US counties was found to be predictive of the subje...
<p>The reference text is roughly 100 billion tweets from September 2008 to July 2014. The comparison...
<p>Scores were calculated using (1) and the LabMT word list. The full list of cities can be found in...
<div><p>We conduct a detailed investigation of correlations between real-time expressions of individ...
We conduct a detailed investigation of correlations between real-time expressions of individuals mad...
<p>The word shift graphs compare the climate tweets to unfiltered tweets on the day of the natural d...
Where we live affects all aspects of our life and thus our happiness. In recent years, and now for m...
<p>The clustergram shows Cross-correlations between word frequency distributions for the 40 cities w...
<p>Temporal and geographic variation in emotions expressed by Facebook users in 2011 as measured by ...
This study uses the World Happiness Index and WalletHub’s rankings of US cities’ happiness levels as...
The effect of living in a less urban area on the probability of being happy is estimated. It is show...
<p>Letters represent the differences between cities, based on the Generalized Linear Model analysis:...
<p>Average happiness ratings for 10,222 words were obtained using Mechanical Turk with 50 evaluation...
<p>Each point represents an individual tweet and is colored by the average word happiness of nearby...
We conduct a detailed investigation of correlations between real-time expressions of individuals mad...
The language used in tweets from 1,300 different US counties was found to be predictive of the subje...