APPLICATION OF MACHINE LEARNING IN ONLINE SHOPPING REVIEW DATA MINING SYSTEM

With the emerging development of Internet and e-commerce, online shopping has gradually become a new consumption mode for people. Consumers leave a large number of comments during online shopping, which reflect their real experience and feelings, as well as contain information about market dynamics and consumer needs. Therefore, how to effectively mine and analyze online shopping review data has become a research hotspot in the field of e-commerce.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-18
DOI
https://doi.org/10.5281/zenodo.14512384
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

APPLICATION OF MACHINE LEARNING IN ONLINE SHOPPING REVIEW DATA MINING SYSTEM

Zenodo (CERN European Organization for Nuclear Research)
Customer churn and segmentation
article

APPLICATION OF MACHINE LEARNING IN ONLINE SHOPPING REVIEW DATA MINING SYSTEM

article en

Abstract

With the emerging development of Internet and e-commerce, online shopping has gradually become a new consumption mode for people. Consumers leave a large number of comments during online shopping, which reflect their real experience and feelings, as well as contain information about market dynamics and consumer needs. Therefore, how to effectively mine and analyze online shopping review data has become a research hotspot in the field of e-commerce.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 51%
Customer churn and segmentation
DOIOpen Access PDFOpenAlex
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APPLICATION OF MACHINE LEARNING IN ONLINE SHOPPING REVIEW DATA MINING SYSTEM · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS