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SARPS: Sentiment Analysis of Review(S) Posted on Social Network

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1045))

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Abstract

Today’s environment is witnessing a change in the shopping scenario as most of the urban user of all the age group prefers to buy and sell the product online. The companies allow the buyer to give feedback and reviews related to the product and with this user can easily share their views about any product, brand, services, hotel etc. Before making the purchase the customer nowadays always go-through the reviews which are present on the portal or vortal because it gives them the idea about the quality and service given by the company related to that product or brand. Not always the reviews are genuine but fake reviews are also available to promote and de-promote the product and one cannot easily distinguish which one is real and which one is fake. The positive reviews build a good impact on the user for buying the product whereas the negative reviews always restrict the user from buying a particular product. The proposed work classifies the reviews on the basis of rating ranging from 1 to 5. The review whose rating is greater than 3.5 is considered as the positive reviews and whose rating is less than 3.5 is considered as the negative reviews. The simulation of proposed work has been done in jupyter notebook and the results are encouraging.

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Acknowledgment

The Author(s) wishes to express their gratitude to their institution Guru Gobind Singh Indraprastha University for providing a great exposure to accomplish research oriented tasks and providing a strong platform to develop skills and capabilities.

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Authors and Affiliations

  1. SWINGER: Security, Wireless, IoT Network Group of Engineering and Research, University School of Information, Communication, and Technology (USICT), Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, Delhi, India

    Sumedha & Rahul Johari

Authors
  1. Sumedha
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  2. Rahul Johari
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Corresponding author

Correspondence to Rahul Johari .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Sumedha, Johari, R. (2019). SARPS: Sentiment Analysis of Review(S) Posted on Social Network. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_29

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  • DOI: https://doi.org/10.1007/978-981-13-9939-8_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9938-1

  • Online ISBN: 978-981-13-9939-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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