Detection of potential customers’ empathy behavior towards customers' reviews
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DOI: 10.1016/j.jretconser.2021.102881
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Cited by:
- Liu, Zhenkun & Zhang, Ying & Abedin, Mohammad Zoynul & Wang, Jianzhou & Yang, Hufang & Gao, Yuyang & Chen, Yinghao, 2024. "Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
- Pashchenko, Yana & Rahman, Mst Farjana & Hossain, Md Shamim & Uddin, Md Kutub & Islam, Tarannum, 2022. "Emotional and the normative aspects of customers’ reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
- Wang, Liping & Chen, Longjun & Li, Chuang, 2024. "Research on strategies for improving green product consumption sentiment from the perspective of big data," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
- Md Shamim Hossain & Mst Farjana Rahman, 2023. "Customer Sentiment Analysis and Prediction of Insurance Products’ Reviews Using Machine Learning Approaches," FIIB Business Review, , vol. 12(4), pages 386-402, December.
- Arenas Gaitán, Jorge & Ramírez-Correa, Patricio E., 2023. "COVID-19 and telemedicine: A netnography approach," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
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Keywords
Potential customers' empathy behavior; Customer's review; Lexicon-based; Financial services organizations; Stimulus–organism–response (SOR); Appraisal theory;All these keywords.
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