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Research on Online Reputation of Goods Based on Emotional Analysis

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Emerging Trends in Intelligent and Interactive Systems and Applications (IISA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1304))

Abstract

Online reputation of goods plays an important role in improving market efficiency and creating an orderly competitive environment in the network market. Based on the detailed possibility theory, this paper proposes an improved online reputation measurement model of goods, extracts two thinking paths in the process of forming consumers’ online reputation attitude, and analyzes the factors that influence the change of goods reputation. In this paper, the text emotion analysis technology is used to deeply mine the text information of e-commerce comments to reflect the attributes and attitudes of consumers, the usefulness of a single comment is determined by other comment features. And combined with the search index on the search engine to determine the online reputation of goods. Grab the mobile phone review data on JD.com platform for experimental verification to show the current online reputation ranking of goods, consumers’ attention to various attributes of goods, emotional attitudes and so on. This paper expands the evaluation perspective of online commodity reputation, and from the perspective of cognition and emotion. It can better discover the true wishes of consumers and provide targeted countermeasures and suggestions for enterprises to improve goods and services.

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Acknowledgments

This work is supported in part by the project of postdoctoral research start-up fund in 2019 (No.LBH-Q19028).

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Authors and Affiliations

  1. Harbin University of Commerce, Harbin, 15000, HL, China

    Xiaotong Yan, Zhijie Zhao, Xiaowei Han, Zhipeng Fan & Jialin Zhang

Authors
  1. Xiaotong Yan
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  2. Zhijie Zhao
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  3. Xiaowei Han
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  4. Zhipeng Fan
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  5. Jialin Zhang
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Corresponding author

Correspondence to Zhijie Zhao .

Editor information

Editors and Affiliations

  1. The Business Systems and Analytics Department, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

  2. Departamento de Engenharia Eletrônica e Telecomunicações, Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil

    Nadia Nedjah

  3. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

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Yan, X., Zhao, Z., Han, X., Fan, Z., Zhang, J. (2021). Research on Online Reputation of Goods Based on Emotional Analysis. In: Tavana, M., Nedjah, N., Alhajj, R. (eds) Emerging Trends in Intelligent and Interactive Systems and Applications. IISA 2020. Advances in Intelligent Systems and Computing, vol 1304. Springer, Cham. https://doi.org/10.1007/978-3-030-63784-2_21

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