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Semantic Analysis of Social Data Streams

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 23))

Abstract

Social Networks Analysis has become a common trend among scholars and researchers worldwide. A great number of companies, institutions and organisations are interested in social networks data mining. Information published on many social networks, like Facebook, Twitter or Instagram constitute an important asset in many application fields, overall sentiment analysis, but also economics analysis, politics analysis and so on. Social networks analysis comprehends many disciplines and involves the application of different methodologies and techniques to define the criteria for generating the analytics, according to the purpose of the study. In this work, we focused on the semantic analysis of the content of textual information obtained from social media, aiming at extracting hot topics from social networks. We considered, as case study, reviews from the Yelp social network. The same methodology can be also applied for social and political opinion mining campaigns.

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Acknowledgment

This research was funded by the European Commission through the project “colMOOC: Integrating Conversational Agents and Learning Analytics in MOOCs” (588438-EPP-1-2017-1-EL-EPPKA2-KA).

Author information

Authors and Affiliations

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

    Flora Amato & Giovanni Cozzolino

  2. Department of Scienze Politiche, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  3. Department of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

Authors
  1. Flora Amato
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  2. Giovanni Cozzolino
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  3. Francesco Moscato
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  4. Fatos Xhafa
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Corresponding author

Correspondence to Flora Amato .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Fukuoka-ken, Japan

    Leonard Barolli

  3. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Michal Greguš

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Amato, F., Cozzolino, G., Moscato, F., Xhafa, F. (2019). Semantic Analysis of Social Data Streams. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_6

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