Data analysis of online shopping platform during the COVID-19 epidemic of Coronavirus disease

Bin Zhao* and Jinming Cao

Data analysis of online shopping platform, and With the development of online platform, more and more consumers will choose this convenient way of online shopping. This paper uses Spyder’s time-based model to mine the rating data of Amazon online shopping platform, establishes a neural network model, analyzes the connection relationship of each rating index, carries out descriptive statistical analysis on each index, obtains the correlation results between the impact indicators, and carries out fuzzy evaluation, analyzes the impact of each evaluation index on the product, and finally combines the product’s The relationship between sales situation and rating provides reliable product sales design mode for Amazon, and gives some sales suggestions, so as to enhance the product’s desirability.

Keywords:

Published on: Jan 28, 2021 Pages: 23-32

Full Text PDF Full Text HTML DOI: 10.17352/2455-5479.000229
CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat