A small sample data-driven method

A small sample data-driven method: User needs elicitation from online reviews in new product iteration

Cong, Yangfan (Northwestern Polytechnical University)
Yu, Suihuai (Northwestern Polytechnical University)
Chu, Jianjie (Northwestern Polytechnical University)
Su, Zhaojing (Northwestern Polytechnical University)
Huang, Y. (TU Delft Design Conceptualization and Communication; Northwestern Polytechnical University)
Li, Feilong (Northwestern Polytechnical University)

2023

Eliciting user needs from mass online reviews is playing a significant role in the product iteration process. Efficient user needs elicitation does achieve considerable benefits for maintaining higher competitiveness and a speedier lifecycle. However, there is inevitably an online review scarcity about new products due to the short time on the market and low buyer recognition compared with commonly used products. This paper proposes a small sample data-driven method for user needs elicitation from online reviews in new product iteration. In the first stage, a scraped initial online review dataset is pre-processed roughly to improve the data quality. And then, reviews are classified into multiple categories according to different topics using ERNIE. In the second stage, each topic-based dataset is reprocessed in detail. Thereafter, the key user needs set is determined and facilitated by extracting key product information phrases from every single dataset using improved SIFRank. Moreover, the case study of a smart cat feeder is carried out to demonstrate the feasibility and potential of the ERNIE-ISIFRank methodology. Finally, comparative experiments are conducted to verify the advantages of the proposed method which is primarily based on the pre-trained language model to enhance the deep understanding of the semantics of online reviews. The experimental results confirm that the proposed method can assist in identifying key user needs with high efficiency.

ERNIE
Improved SIFRank
New product iteration
Small sample data-driven
User needs elicitation

http://resolver.tudelft.nl/uuid:6ef9c5e9-60f8-4916-9aae-dadb38d9b560

https://doi.org/10.1016/j.aei.2023.101953

2023-09-30

1474-0346

Advanced Engineering Informatics: the science of supporting knowledge-intensive activities, 56

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2023 Yangfan Cong, Suihuai Yu, Jianjie Chu, Zhaojing Su, Y. Huang, Feilong Li