基于多特征的柳州螺蛳粉购买评论情感倾向性分析  

Analysis on Emotional Tendency of Liuzhou Snail Powder Purchase Comments Based on Multi Features

作　　者：余婷 黄李韦[1] 

机构地区：[1]广西科技大学理学院,广西 柳州

出　　处：《建模与仿真》2022年第1期66-75,共10页Modeling and Simulation

摘　　要：新冠疫情催生了“宅经济”,袋装柳州螺蛳粉强势崛起,成为全国热销的方便食品之一。目前网购平台上开设的螺蛳粉网店高达1.2万家,在竞争如此激烈的情况下,挖掘大众的喜好变得尤为重要。本文拟采用关键词提取、词云图可视化分析、LDA主题分析以及评论分词主题模型等情感分析方法对螺蛳粉购买评论数据进行分析,挖掘大众对螺蛳粉的喜好,为商家改进商品提供有利参考,提升产品的用户体验,从而提高销量。COVID-19 has spawned the “home economy”. The bagged Liuzhou snail powder has risen vigorously and has become one of the most convenient foods in the country. At present, there are 12,000 snail powder online stores opened on the online shopping platform. In the case of such fierce competition, it is particularly important to tap the public’s preferences. This paper intends to use emotional analysis methods such as keyword extraction, word cloud visualization analysis, LDA topic analysis and comment word segmentation topic model to analyze the snail powder purchase comment data, mine the public’s preference for snail powder, provide favorable reference for merchants to improve products, improve product user experience, and improve sales.

关 键 词：文本挖掘 情感分析 评论分词模型 螺蛳粉 

分 类 号：F42[经济管理—产业经济]