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      Twitter speaks: A case of national disaster situational awareness

      1 , 2 , 3 , 2

      Journal of Information Science

      SAGE Publications

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          Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

           S Golder,  M Macy (2011)
          We identified individual-level diurnal and seasonal mood rhythms in cultures across the globe, using data from millions of public Twitter messages. We found that individuals awaken in a good mood that deteriorates as the day progresses--which is consistent with the effects of sleep and circadian rhythm--and that seasonal change in baseline positive affect varies with change in daylength. People are happier on weekends, but the morning peak in positive affect is delayed by 2 hours, which suggests that people awaken later on weekends.
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            Lexicon-Based Methods for Sentiment Analysis

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              Sentiment analysis algorithms and applications: A survey

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                Author and article information

                Journal
                Journal of Information Science
                Journal of Information Science
                SAGE Publications
                0165-5515
                1741-6485
                March 04 2019
                March 04 2019
                : 016555151982862
                Affiliations
                [1 ]School of Library and Information Science, University of South Carolina, USA
                [2 ]Computer Science & Engineering Department, University of South Carolina, USA
                [3 ]Coles College of Business, Kennesaw State University, USA
                Article
                10.1177/0165551519828620
                4f5e992d-26be-45e5-b79a-b980f5526c88
                © 2019

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