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An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool

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Book cover Enterprise Information Systems (ICEIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 378))

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Abstract

This work describes an automatic text classification method implemented in a software tool called NETHIC, which takes advantage of the inner capabilities of highly-scalable neural networks combined with the expressiveness of hierarchical taxonomies. As such, NETHIC succeeds in bringing about a mechanism for text classification that proves to be significantly effective as well as efficient. The tool had undergone an experimentation process against both a generic and a domain-specific corpus, outputting promising results. On the basis of this experimentation, NETHIC has been now further refined and extended by adding a document embedding mechanism, which has shown improvements in terms of performance on the individual networks and on the whole hierarchical model.

L. Lomasto and R. Di Florio—Contributed equally to this work.

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Notes

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Author information

Authors and Affiliations

  1. Eustema S.p.A., Naples, Italy

    Luigi Lomasto

  2. Allianz SE, Munich, Germany

    Rosario Di Florio

  3. Innovation Engineering S.r.l., Rome, Italy

    Andrea Ciapetti, Giuseppe Miscione, Giulia Ruggiero & Daniele Toti

  4. Department of Sciences, Roma Tre University, Rome, Italy

    Daniele Toti

Authors
  1. Luigi Lomasto
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  2. Rosario Di Florio
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  3. Andrea Ciapetti
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  4. Giuseppe Miscione
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  5. Giulia Ruggiero
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  6. Daniele Toti
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Corresponding author

Correspondence to Daniele Toti .

Editor information

Editors and Affiliations

  1. INSTICC and Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. George Mason University, Fairfax, VA, USA

    Alexander Brodsky

  4. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

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Lomasto, L., Di Florio, R., Ciapetti, A., Miscione, G., Ruggiero, G., Toti, D. (2020). An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2019. Lecture Notes in Business Information Processing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-40783-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-40783-4_4

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  • Online ISBN: 978-3-030-40783-4

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