Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Tinggui Chen, Lijuan Peng, Jianjun Yang and Guodong Cong
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Tinggui Chen: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Lijuan Peng: School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
Jianjun Yang: Department of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA
Guodong Cong: School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China

Mathematics, 2021, vol. 9, issue 12, 1-26

Abstract: With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

Keywords: English vocabulary APPs; user requirements; APP downloads; online comments; quantile regression (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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