Research Article
Sentiment Analysis of Consumers Purchasing Internet Red Food Based on Data Mining
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327591, author={Chao Zheng and Yunting Miao and Liqing Guo}, title={Sentiment Analysis of Consumers Purchasing Internet Red Food Based on Data Mining}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={internet red food; python; emotional analysis; word co-occurrence analysis}, doi={10.4108/eai.9-12-2022.2327591} }- Chao Zheng
Yunting Miao
Liqing Guo
Year: 2023
Sentiment Analysis of Consumers Purchasing Internet Red Food Based on Data Mining
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327591
Abstract
In recent years, the rapid development of Internet Red Food, set off a wave of Internet Red Food consumption boom on the Internet, but about the Internet Red Food safety incidents frequently, unlicensed sales, three no products and other topics also rushed to the list. This study is based on this paper based on the Python crawl "JD" shop evaluation and bilibili video comments and to the data cleaning, by using TF-IDF algorithm to classify comments, and make co-word analysis, the Gephi software is used to generate word co-occurrence network graph, and conduct emotion analysis based on Hownet emotion dictionary and SnowNLP dictionary, the mining and analysis of comment data are realized. The results show that: from the TF-IDF algorithm, consumers are more concerned about the taste, nutrition and freshness of Internet Red Food. After emotional analysis, it is found that about 86% of consumers have a good impression on Internet Red Food, and negative emotions account for about 14%, which can reflect consumers' love for Internet Red Food.