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Fuzziness in Information Extracted from Social Media Keywords

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Artificial Intelligence (RCAI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 934))

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Abstract

Social media becomes a part of our lives. People use different form of it to express their opinions on variety of ideas, events and facts. Twitter, as an example of such media, is commonly used to post short messages – tweets – related to variety of subjects.

The paper proposes an application of fuzzy-based methodologies to process tweets, and to interpret information extracted from those tweets. We state that the obtained knowledge is fully explored and better comprehend when fuzziness is used. In particular, we analyze hashtags and keywords to extract useful knowledge. We look at the popularity of hashtags and changes of their popularity over time. Further, we process hashtags and keywords to build fuzzy signatures representing concepts associated with tweets.

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References

  1. Wu, K.L., Yang, M.S.: Alternative c-means clustering algorithms. Pattern Recogn. 35, 2267–2278 (2002)

    Article  Google Scholar 

  2. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  Google Scholar 

  3. http://dictionary.reference.com. Accessed 8 May 2015

  4. http://www.r-project.org. Accessed 8 May 2015

  5. https://twitter.com/. Accessed 8 May 2015

  6. http://www.wikipedia.org. Accessed 8 May 2015

  7. Klir, G., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, Upper Saddle River (1995)

    Google Scholar 

  8. Pedrycz, W., Gomide, F.: Fuzzy Systems Engineering: Toward Human-Centric Computing, Wiley-IEEE Press, New York (2007)

    Google Scholar 

  9. Pal, A., Mondal, B., Bhattacharyya, N., Raha, S.: Similarity in fuzzy systems. J. Uncertainty Anal. Appl. 2(1), 18 (2014)

    Google Scholar 

  10. Pappis, C.P., Karacapilidis, N.I.: A comparative assessment of measures of similarity of fuzzy values. Fuzzy Sets Syst. 56(2), 171–174 (1993)

    Article  MathSciNet  Google Scholar 

  11. Gerstenkorn, T., Manko, J.: Correlation of intuitionistic fuzzy sets. Fuzzy Sets Syst. 44(1), 39–43 (1991)

    Article  MathSciNet  Google Scholar 

  12. Dumitrescu, D.: A definition of an informational energy in fuzzy sets theory. Stud. Univ. Babes-Bolyai Math. 22(2), 57–59 (1977)

    MathSciNet  MATH  Google Scholar 

  13. Dumitrescu, D.: Fuzzy correlation. Studia Univ. Babes-Bolyai Math. 23, 41–44 (1978)

    MathSciNet  MATH  Google Scholar 

  14. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  Google Scholar 

  15. Shahbazova, S.N.: Development of the knowledge base learning system for distance education. Int. J. Intell. Syst. 27(4), 343–354 (2012). Wiley Periodicals, Inc., Wiley - Blackwell

    Google Scholar 

  16. Shahbazova, S.N.: Application of fuzzy sets for control of student knowledge. Appl. Comput. Math. Int. J. 10(1), 195–208 (2011). Special Issue on Fuzzy Set Theory and Applications. ISSN 1683-3511

    Google Scholar 

  17. Koshelova, O., Shahbazova, S.N.: Fuzzy multiple-choice quizzes and how to grade them. J. Uncertain Syst. 8(3), 216–221 (2014). www.jus.org.uk

  18. Abbasov, A.M., Shahbazova, S.N.: Informational modeling of the behavior of a teacher in the learning process based on fuzzy logic. Int. J. Intell. Syst. 31(1), 3–18 (2015). Wiley Periodicals, Inc., Wiley - Blackwell

    Google Scholar 

  19. Shahbazova, S.N.: Modeling of creation of the complex on intelligent information systems learning and knowledge control (IISLKC). Int. J. Intell. Syst. 29(4), 307–319 (2014). Wiley Periodicals, Inc., Wiley - Blackwell

    Google Scholar 

  20. Zadeh, L.A., Abbasov, A.M., Shahbazova, S.N.: Fuzzy-based techniques in human-like processing of social network data. Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 23(1), 1–14 (2015). Special issue on 50 years of Fuzzy Sets

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Azerbaijan Technical University, Baku, 1073, Azerbaijan

    Shahnaz N. Shahbazova

  2. The George Washington University, Washington DC, 20052, USA

    Sabina Shahbazzade

Authors
  1. Shahnaz N. Shahbazova
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  2. Sabina Shahbazzade
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Corresponding author

Correspondence to Shahnaz N. Shahbazova .

Editor information

Editors and Affiliations

  1. Department of Data Analysis and Artificial Intelligence, National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  2. Federal Research Center Computer Science and Control, Institute of Informatics Problems, Moscow, Russia

    Gennady S. Osipov

  3. Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Vadim L. Stefanuk

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Shahbazova, S.N., Shahbazzade, S. (2018). Fuzziness in Information Extracted from Social Media Keywords. In: Kuznetsov, S., Osipov, G., Stefanuk, V. (eds) Artificial Intelligence. RCAI 2018. Communications in Computer and Information Science, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-00617-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-00617-4_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00616-7

  • Online ISBN: 978-3-030-00617-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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