Initial Comment And Additional Comment Information On Fresh Fruit Sales Impact Study

With the rapid development of my country’s Internet technology and the continuous improvement of e-commerce,consumers’ shopping methods have also shifted from the original offline shopping to online shopping.This brings convenience to consumers,but also causes some problems.Because consumers cannot access the physical objects when shopping online,they can only formulate relevant information such as product quality and merchant services from evaluations published by other consumers.Purchase decision.However,there are many contents of the review data,what information consumers pay attention to,and how the information in the review will affect the sales of the product.In order to explore this issue,this article will analyze and study the content of consumer reviews on the e-commerce platform.According to the How Net database,the related researches of previous scholars are sorted out,and it is found that the current collection of review data focuses on the initial reviews of products,relatively little research on additional reviews,and the research objects are mostly concentrated on electronic devices,In the fields of clothing,group purchases,and tourism,there is relatively little research in the field of agricultural products.Therefore,this article takes fresh products as the research object and takes fresh fruits as an example.Through the collection and analysis of the review data of the JD platform,we discuss whether the initial comments and additional comments will affect the sales of fresh products and the impact of various indicators.The degree of strength and weakness,combined with the characteristics of fresh products to build a corresponding research system,at the same time also provide a certain theoretical experience for the future research of agricultural products,and based on the analysis results for fresh e-commerce to understand consumer needs to develop marketing strategies,and ultimately Provide corresponding opinions and suggestions to increase the sales of fresh products.This article uses python3.6 to write program code and crawl the content of fresh fruit reviews of the JD platform from the selected range,and then clean the crawled data to delete duplicate reviews,unreviewed reviews by consumers and advertisements.Comment,and then use the jieba module to segment the text content of the comment,remove the meaningless words by establishing a stop word list,and use the word frequency calculation method to extract the consumers who are more concerned about the sales of fresh products.For the affected features,perform tf-idf calculation on the extracted features to obtain the weight of each feature word,and understand the consumer’s attention to each feature.Calculate the scores of the initial comments and additional comments through snownlp;then further statistically sort the crawled comment data,propose corresponding hypotheses according to the variables,establish a model,use multiple stepwise regression to verify the proposed hypotheses,and compare each The strength of this indicator on the sales of fresh products.Through the above analysis,it is concluded that consumers are most concerned about the logistics,prices,packaging,quality,and services provided by fresh e-commerce,and today consumers are most satisfied with the prices and services of fresh products,and Satisfaction is the lowest.Through the data processing and multiple stepwise regression analysis of the initial and additional comments of JD fresh products,it was found that the emotional tendencies of the initial and additional comments,the depth of the initial comments and the follow-up rate of the comments in the selected variables The sales of fresh products have an impact,and the depth of comments,the extremeness of comments,and the time interval between initial comments and additional comments in the selected variables will not affect the sales of fresh products.Through further analysis and comparison of the regression results,it is concluded that the affection tendency of the first comment has a greater impact on the sales of fresh products than the additional comments on the sales of fresh products.According to the concerns of consumers’ characteristics obtained in the analysis of the review text,suggestions are made for fresh e-commerce to improve the quality of logistics services,ensure the quality of fresh products,and improve product packaging methods to improve consumers’ overall satisfaction with fresh e-commerce;According to the results of regression analysis,it is proposed that the fresh food e-commerce platform should strengthen the supervision service of the platform and improve the construction of the comment area of the effective platform to ensure that consumers can quickly browse useful comment information in the comment area to help consumers make purchase decisions and then Increase the sales of fresh e-commerce products and promote the sustainable development of fresh e-commerce.