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Research Article

MINING ONLINE REVIEWS TO SUPPORT CUSTOMERS’ DECISION-MAKING PROCESS IN E-COMMERCE PLATFORMS: A NARRATIVE LITERATURE REVIEW

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ABSTRACT

By dint of the massive daily production of user-generated content (textual reviews) in E-commerce platforms, the need to automatically process it and extract different types of knowledge from it becomes a necessity. In this work, an attempt has been made to summarize some studies that aim to propose systems, which automatically mine textual reviews expressed in natural languages for the purpose of supporting customers’ decision-making process in E-commerce (buying, renting, and booking). The given review is the first work of this type and it includes 44 studies (30 aspect/feature-based summarizers and 14 reputation systems) published from 2004 to 2021. First, it investigates aspect and feature-based summarizers that aim to help customers in making an informed decision toward online entities (products, movies, hotels, services …). Second, it introduces reputation generation systems that seek to provide valuable information about online items. Finally, it provides recommendations for future research directions and open problems.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

Additional information

Notes on contributors

Abdessamad Benlahbib

Abdessamad Benlahbib has received his Doctoral degree in Computer Science. His research interests concern the application of natural language processing (NLP) techniques to support customers during their decision-making process in E-commerce platforms. He has published several papers in journals and conferences in the area of computer science (e.g., IEEE Access, Journal of Organizational Computing and Electronic Commerce, International Journal of Electrical and Computer Engineering and SemEval).

Achraf Boumhidi

Achraf Boumhidi is pursuing his Ph.D. at the Faculty of Science Dhar El Mahraz, Fez, Morocco. His research interests are surrounding Natural language processing (NLP) and Social network analysis (SNA) for decision making in social media platforms.

El Habib Nfaoui

El Habib Nfaoui is currently a Professor of Computer Science at the University of Sidi Mohamed Ben Abdellah, Fez, Morocco. He received his PhD in Computer Science from the University of Sidi Mohamed Ben Abdellah, Morocco, and the University of Lyon, France, under a Cotutelle agreement (doctorate in joint-supervision), in 2008, and then his HU Diploma (Accreditation to supervise research) in Computer Science, in 2013, from the University of Sidi Mohamed Ben Abdellah. His current research interests include Information Retrieval, Language Representation Learning, Machine learning and Deep learning, Web mining and Text mining, Semantic Web, Web services, Social networks, and Multi-Agent Systems. Dr. El Habib Nfaoui has published in international reputed journals, books, and conferences, and has edited seven conference proceedings and special issue books. He has served as a reviewer for scientific journals and as program committee of several conferences. He is co-founder and Chair of the IEEE Morocco Section Computational Intelligence Society Chapter. He is a co-founder and an executive member of the International Neural Network Society Morocco regional chapter. He co-founded the International Conference on Intelligent Computing in Data Sciences (ICSD2017) and the International Conference on Intelligent Systems and Computer Vision (ISCV2015)

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