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Intelligent Interactive Multimedia Systems and Services 2016 pp 577–586Cite as

Opinions Analysis in Social Networks for Cultural Heritage Applications

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 55))

Abstract

Social media provide a great amount of valuable information in the form of messages posted by users. Information extracted from posts can be considered like features giving insights about the preferences of users towards certain events. These features can be used to generate recommendations looking forward for upcoming events they might find interesting. In this work we present system for opinion analysis from tweets and recommendation of cultural heritage events. At this aim, we detect the events of interest from Tweets and propose a methodology for associating a sentiment degree with a tweet using NLP techniques.

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Notes

  1. 1.

    http://nlp.stanford.edu/software/.

  2. 2.

    http://www.mongodb.org.

  3. 3.

    http://cassandra.apache.org/.

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Author information

Authors and Affiliations

  1. DIETI - Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, Naples, Italy

    Flora Amato, Giovanni Cozzolino, Sergio Di Martino, Antonino Mazzeo, Vincenzo Moscato, Antonio Picariello, Sara Romano & Giancarlo Sperlí

  2. CeRICT scrl - Centro Regionale Information Communication Technology, Complesso Universitario di Monte Sant’Angelo, Naples, Italy

    Sara Romano

Authors
  1. Flora Amato
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  2. Giovanni Cozzolino
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  3. Sergio Di Martino
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  4. Antonino Mazzeo
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  5. Vincenzo Moscato
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  6. Antonio Picariello
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  7. Sara Romano
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  8. Giancarlo Sperlí
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Corresponding author

Correspondence to Flora Amato .

Editor information

Editors and Affiliations

  1. Institute for High-Perfor Computing Netw, National Research Council of Italy, Naples, Italy

    Giuseppe De Pietro

  2. Institute for High-Perfo Computing Netwo, National Research Council of Italy, Naples, Italy

    Luigi Gallo

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, South Australia, Australia

    Lakhmi C. Jain

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© 2016 Springer International Publishing Switzerland

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Amato, F. et al. (2016). Opinions Analysis in Social Networks for Cultural Heritage Applications. In: Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2016. Smart Innovation, Systems and Technologies, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-39345-2_51

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  • DOI: https://doi.org/10.1007/978-3-319-39345-2_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39344-5

  • Online ISBN: 978-3-319-39345-2

  • eBook Packages: EngineeringEngineering (R0)

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