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A Sentiment-Based Hotel Review Summarization

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Emerging Technology in Modelling and Graphics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 937))

Abstract

Nowadays, with the growth of information and data provided in Internet, it becomes too difficult for a user to read and understand all the reviews from huge amount of reviews. In today’s world, we purchase products, book movie tickets, book train tickets, book hotel rooms, and buy products from different websites. Users also share their views about product, hotel, news, and other topics on Web in the form of reviews, blogs, etc. We can found some basic reviews in user review and also can find user own opinions about the experience with various products. Many users read the reviews of the information given on the Web to take decisions such as buying products, watching movie, going to restaurant, etc. It is difficult for Web users to read and understand the contents from a large number of reviews. The important and useful information can be extracted from the reviews through opinion mining and summarization process. We obtained about 78.2% of accuracy of hotel review classification as positive or negative review by machine learning method. The classified and summarized hotel review information helps the Web users to understand the review contents easily in a short time.

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  1. http://www.aaai.org/Papers/AAAI/2004/AAAI04-119.pdf

  2. http://ieeexplore.ieee.org/document/1250949/

  3. https://arxiv.org/abs/1603.06042

  4. https://arxiv.org/abs/1609.03499

  5. ilpubs.stanford.edu/422/1/1999-66.pdf

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Author information

Authors and Affiliations

  1. Institute of Engineering and Management, Kolkata, India

    Debraj Ghosh

Authors
  1. Debraj Ghosh
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Correspondence to Debraj Ghosh .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Debika Bhattacharya

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Ghosh, D. (2020). A Sentiment-Based Hotel Review Summarization. In: Mandal, J., Bhattacharya, D. (eds) Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-7403-6_5

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  • DOI: https://doi.org/10.1007/978-981-13-7403-6_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7402-9

  • Online ISBN: 978-981-13-7403-6

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