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Analysis of Papers Based on Sentiment Analysis Applications on E-Commerce Data

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Innovations in Bio-Inspired Computing and Applications (IBICA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1372))

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Abstract

Sentiment Analysis is the computational treatment of opinions, sentiments and subjectivity of text and use them for the benefit of the business operations. This survey paper tackles a comprehensive overview of various sentiment analysis applications related to E-commerce data and includes analysis of related papers from 2008 to 2020. This paper gives overall idea about various data pre-processing techniques, Sentiment Analysis algorithms, its accuracy, further improvements and other related details of each referred applications used, as literature survey in the area of E-commerce. The main contributions of this paper include comprehensive analysis of many relevant E-commerce articles, illustration of data pre-processing techniques and the illustration of the recent trend of research in the sentimental Analysis and related areas.

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  2. https://marketingland.com/facebook-3-2-billion-likes-comments-every-day-19978. Accessed 25 July 2020 at 5:00 p.m.

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Author information

Authors and Affiliations

  1. Career Point University, Kota, India

    Beena Kapadia

  2. Vidyalankar School of Information Technology, Wadala, Mumbai, India

    Amita Jain

Authors
  1. Beena Kapadia
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  2. Amita Jain
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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. National Institute of Information and Communications Technology (NICT), Koganei, Tokyo, Japan

    Hideyasu Sasaki

  3. Universidade Federal da Bahia, Salvador, Brazil

    Ricardo Rios

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

    Niketa Gandhi

  5. Institute of Technology and Science, Ghaziabad, Uttar Pradesh, India

    Umang Singh

  6. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Kapadia, B., Jain, A. (2021). Analysis of Papers Based on Sentiment Analysis Applications on E-Commerce Data. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_30

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