Analysis of Hot Topics in E-Commerce Live Streaming Based on LDA Topic Model and Sentiment Analysis
Starting from the hot events in the field of E-Commerce live streaming,this paper uses Octoparse to capture textual data from Weibo platform from September 10th to October 26th.By comprehensively applying sentiment analysis and LDA clustering method,it conducts an in-depth analysis of the hot topics and corresponding public opinion themes on Weibo during this period.The aim is to provide academically-based marketing strategies and development suggestions for the three parties of E-Commerce anchors,brands and platforms.The hot events in E-Commerce live streaming highlight issues such as industry pricing,anchor trustworthiness and platform competition fairness,while also revealing that changes in consumer sentiment can bring new opportunities for brand marketing.
LDA modelsentiment analysisE-Commerce live streamingdomestic product marketingplatform competition
国家科技期刊平台
NSTL
万方数据
