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      Dictionaries and distributions: Combining expert knowledge and large scale textual data content analysis : Distributed dictionary representation

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          A unified architecture for natural language processing

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            Is Open Access

            The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place

            We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated over the course of several recent years on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations. Among many results, we generate taxonomies of states and cities based on their similarities in word use; estimate the happiness levels of states and cities; correlate highly-resolved demographic characteristics with happiness levels; and connect word choice and message length with urban characteristics such as education levels and obesity rates. Our results show how social media may potentially be used to estimate real-time levels and changes in population-level measures such as obesity rates.
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                Author and article information

                Journal
                Behavior Research Methods
                Behav Res
                Springer Nature
                1554-3528
                February 2018
                March 31 2017
                February 2018
                : 50
                : 1
                : 344-361
                Article
                10.3758/s13428-017-0875-9
                28364281
                9262e719-18eb-4d89-a4ff-c9c321219ae9
                © 2018

                http://www.springer.com/tdm

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