基于主题分析的电商评论数据情感分析

Emotional analysis of e-commerce comment data based on theme analysis

随着电商行业的兴起,网络购物的热潮日益高涨,国内电商平台数量不断增长。为了了解用户需求,商家可对评论数据进行情感分析以挖掘深层信息,从而有针对性地进行改进。文章以京东商城中“美的”“九阳”“山本”等品牌的空气炸锅为例,利用网络爬虫方式获取评论数据,通过构建LDA主题模型实现潜在主题词的挖掘与分析,进而为商家提供合理的建议。

With the rise of the e-commerce industry,the trend of online shopping is increasing,and the number of domestic e-commerce platforms is constantly increasing.In order to understand user needs,merchants can conduct sentiment analysis on comment data to mine deep information and make targeted improvements.This article takes the air fryers of brands such as“Midea”,“Joyoung”,and“Shanben”in JD.com as an example,uses Web crawlers to obtain comment data,and constructs an LDA theme model to mine and analyze potential theme words,thereby providing reasonable suggestions for merchants.