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Real-time classification of Twitter trends

Author

Listed:
  • Arkaitz Zubiaga
  • Damiano Spina
  • Raquel Martínez
  • Víctor Fresno
Abstract
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Suggested Citation

  • Arkaitz Zubiaga & Damiano Spina & Raquel Martínez & Víctor Fresno, 2015. "Real-time classification of Twitter trends," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(3), pages 462-473, March.
    • Handle: RePEc:bla:jinfst:v:66:y:2015:i:3:p:462-473
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    File URL: http://hdl.handle.net/10.1002/asi.23186
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    Citations

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    Cited by:

    1. María José Aramburu & Rafael Berlanga & Indira Lanza, 2020. "Social Media Multidimensional Analysis for Intelligent Health Surveillance," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    2. Lei Huang & Amelia Clarke & Natalie Heldsinger & Wen Tian, 2019. "The communication role of social media in social marketing: a study of the community sustainability knowledge dissemination on LinkedIn and Twitter," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(2), pages 64-75, June.
    3. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.
    4. Stefan Helmstetter & Heiko Paulheim, 2021. "Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision," Future Internet, MDPI, vol. 13(5), pages 1-25, April.
    5. Adiyana Sharag-Eldin & Xinyue Ye & Brian Spitzberg & Ming-Hsiang Tsou, 2019. "The role of space and place in social media communication: two case studies of policy perspectives," Journal of Computational Social Science, Springer, vol. 2(2), pages 221-244, July.

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