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The Sentiment of the Infosphere: A Sentiment Analysis Approach for the Big Conversation on the Net

  • Antonio Ruoto
  • Vito Santarcangelo
  • Davide Liga
  • Giuseppe Oddo
  • Massimiliano Giacalone
  • Eugenio Iorio
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In the Network Society the use of hashtags has become a daily routine for the participation on the Big Conversation Iorio and Ruoto (Nessun tempo, 2015). Designated by a ‘hash’ symbol (#), a hashtag is a keyword assigned to information that describes it and aides in searching. Hashtags are now central to organize information on Social Networks. Hashtags organize discussion around specific topics or events and they are becoming an integrated part of the Infosphere, the whole informational environment constituted by all informational entities. The sentiment analysis of Hashtags shared on the Big Conversation can return a possible snapshot about the sentiment shared by users. Scope of this work is to present an application of sentiment analysis on the Italian hashtags of mainly social networks as part of the ‘Infosphere’. This analysis returns a semantic sentiment report about the hashtags shared by the users of the social networks, that can produce a semantic sentiment trend about users. This approach could be applied to every language simply changing the sentiment thesaurus used.

References

  1. Carr, N. (2010). The shallows: What the Internet is doing to our brains. W. Norton & CompanyGoogle Scholar
  2. Castells, M. (2009). Communication power. New York: Oxford University Press, Oxford.Google Scholar
  3. Floridi, L. (2011). Information a very short introduction. Oxford: Oxford University Press.Google Scholar
  4. Iorio, E., & Ruoto, A. (2015). Nessun tempo. Nessun Luogo: La comunicazione pubblica italiana all’epoca delle Reti.Google Scholar
  5. Lovink, G. (2010). Networks without a cause: A critique of social media. Cambridge: Polity.Google Scholar
  6. Pilato, M., Santarcangelo, G., Santarcangelo, V., & Oddo, G. (2015). AIN Thesaurus, RCE MULTIMEDIAGoogle Scholar
  7. Plutchik, R. (2002). Emotions and life: Perspectives from psychology, biology, and evolution. Washington, DC: American Psychological Association.Google Scholar
  8. Santarcangelo, V., Pilato, M., et al. (2015). An opinion mining application on OSINT for the reputation analysis of public administrations. Bari: Choice and preference analysis for quality improvement and seminar on experimentation.Google Scholar
  9. Santarcangelo, V., Oddo, G., Pilato, M., Valenti, F., & Fornaro, C. (2015). Social opinion mining: an approach for Italian language. SNAMS2015 at FiCloud2015.Google Scholar
  10. Westen, D. (2008). The political brain: The role of emotion in deciding the fate of the nation. PublicAffairsGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Antonio Ruoto
    • 1
    • 2
  • Vito Santarcangelo
    • 4
    • 5
  • Davide Liga
    • 1
  • Giuseppe Oddo
    • 4
  • Massimiliano Giacalone
    • 3
  • Eugenio Iorio
    • 2
  1. 1.iInformatica S.r.l.s.TrapaniItaly
  2. 2.University of Naples ‘Suor Orsola Benincasa’NaplesItaly
  3. 3.Department of Economics and StatisticsUniversity of Naples ‘Federico II’NaplesItaly
  4. 4.Centro Studi S.r.l., Zona IndustrialeBuccinoItaly
  5. 5.Department of Mathematics and Computer ScienceUniversity of CataniaCataniaItaly

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