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Use Case Prediction Using Deep Learning

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Intelligent Systems and Applications (IntelliSys 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 294))

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Abstract

Research into utilising text classification to analyse product reviews from e-commerce websites has increased tremendously in recent years. Machine Learning and Deep Learning classifiers have been utilised to organise, categorise and classify product reviews, enabling the identification of polarity and sentiment within product reviews. In this paper, we propose a methodology to classify product reviews using machine learning and deep learning with the intention to identify and predict the activity (use case) in which the consumer used the product they have reviewed.

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Notes

  1. 1.

    https://nijianmo.github.io/amazon/index.html.

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Author information

Authors and Affiliations

  1. Anglia Ruskin University, Cambridge Campus, East Road, Cambridge, CB1 1PT, UK

    Tinashe Wamambo, Cristina Luca, Arooj Fatima & Mahdi Maktab-Dar-Oghaz

Authors
  1. Tinashe Wamambo
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  2. Cristina Luca
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  3. Arooj Fatima
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  4. Mahdi Maktab-Dar-Oghaz
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Corresponding author

Correspondence to Tinashe Wamambo .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Wamambo, T., Luca, C., Fatima, A., Maktab-Dar-Oghaz, M. (2022). Use Case Prediction Using Deep Learning. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-82193-7_20

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