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International Symposium on Intelligent and Distributed Computing

IDC 2018: Intelligent Distributed Computing XII pp 425–435Cite as

Knowledge-Based Metrics for Document Classification: Online Reviews Experiments

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 798))

Abstract

In this paper we propose a new method that addresses the documents classification problem with respect to their topic. The presented method takes into consideration only textual measures. We exemplify the method by considering three sets of documents of gradually different topics: (i) the first two sets contain reviews that comment the published entity features characteristics representing electronic devices – laptops and mobile phones; (ii) the third set contains reviews about touristic locations. All the review texts are written in Romanian and were extracted by crawling popular Romanian sites. The paper presents and discusses the obtained evaluation scores after the application of textual measures.

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Notes

  1. 1.

    http://www.laurenceanthony.net/.

  2. 2.

    “Research shows that 91% of people regularly or occasionally read online reviews, and 84% trust online reviews as much as a personal recommendation.” says Craig Bloem, Founder and CEO at FreeLogoServices.com.

  3. 3.

    http://amfostacolo.ro.

  4. 4.

    Because the activity domain of these sites is in business we chose not to mention the sites’ names and also to anonymize all the data that could have a potential commercial characteristic.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Craiova, Alexandru Ioan Cuza, 13, 200585, Craiova, Romania

    Mihaela Colhon

  2. Department of Computer and Information Technology, University of Craiova, Alexandru Ioan Cuza, 13, 200585, Craiova, Romania

    Costin Bădică

Authors
  1. Mihaela Colhon
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  2. Costin Bădică
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Corresponding author

Correspondence to Mihaela Colhon .

Editor information

Editors and Affiliations

  1. Basque Center for Applied Mathematics (BCAM), TECNALIA, University of the Basque Country (UPV/EHU), Derio, Bizkaia, Spain

    Javier Del Ser

  2. TECNALIA, Derio, Bizkaia, Spain

    Eneko Osaba

  3. University of the Basque Country (UPV/EHU), Bilbao, Bizkaia, Spain

    Miren Nekane Bilbao

  4. Computer Science Department, University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Javier J. Sanchez-Medina

  5. OpenIoT Reesarch Unit, FBK CREATE-NET, Trento, Italy

    Massimo Vecchio

  6. Department of Design Engineering and Mathematics, Middlesex University, London, UK

    Xin-She Yang

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Colhon, M., Bădică, C. (2018). Knowledge-Based Metrics for Document Classification: Online Reviews Experiments. In: Del Ser, J., Osaba, E., Bilbao, M., Sanchez-Medina, J., Vecchio, M., Yang, XS. (eds) Intelligent Distributed Computing XII. IDC 2018. Studies in Computational Intelligence, vol 798. Springer, Cham. https://doi.org/10.1007/978-3-319-99626-4_37

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  • DOI: https://doi.org/10.1007/978-3-319-99626-4_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99625-7

  • Online ISBN: 978-3-319-99626-4

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