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Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews

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Intelligent Systems Design and Applications (ISDA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1351))

Abstract

Hotel reviews are an important driving factor for hotel business. They can benefit guests to make informed hotel selections, and hotels to tackle their deficiencies and better their performance. In this paper, we propose an opinion mining approach that is applied to hotel reviews. The approach combines both lexical and word vectors’ methods to classify a review. An opinion-oriented sphere of word vectors is constructed, where words correspond to vectors on the sphere. The locations of the vectors reflect the similarity relations among the corresponding words, and they are derived using a simple relaxation algorithm. The classification task requires only a small-sized lexicon of positive and negative seeds. To measure the performance of our approach, we used a data set of hotel reviews. Moreover, we have conducted a comparative analysis using word vectors from other models. The results obtained proves the efficiency of our approach, giving better results at a significant reduction in computation time.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt

    Sandra Rizkallah, Amir F. Atiya & Samir Shaheen

Authors
  1. Sandra Rizkallah
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  2. Amir F. Atiya
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  3. Samir Shaheen
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science, UniversitĂ  degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  5. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  6. School of Engineering, Instituto Superior de Engenharia do Porto, Porto, Portugal

    Ana Madureira

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Rizkallah, S., Atiya, A.F., Shaheen, S. (2021). Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_19

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