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基于LDA主题模型及情感分析的电商直播热点主题分析

张小婉 毕如倩 张雨娟

现代信息科技2024,Vol.8Issue(21):88-95,101,9.
现代信息科技2024,Vol.8Issue(21):88-95,101,9.DOI:10.19850/j.cnki.2096-4706.2024.21.018

基于LDA主题模型及情感分析的电商直播热点主题分析

Analysis of Hot Topics in E-Commerce Live Streaming Based on LDA Topic Model and Sentiment Analysis

张小婉 1毕如倩 1张雨娟1

作者信息

  • 1. 安徽大学 管理学院,安徽 合肥 230601
  • 折叠

摘要

Abstract

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.

关键词

LDA模型/情感分析/电商直播/国货营销/平台竞争

Key words

LDA model/sentiment analysis/E-Commerce live streaming/domestic product marketing/platform competition

分类

信息技术与安全科学

引用本文复制引用

张小婉,毕如倩,张雨娟..基于LDA主题模型及情感分析的电商直播热点主题分析[J].现代信息科技,2024,8(21):88-95,101,9.

基金项目

2022安徽省高校科研(哲学社会科学类)重点项目(2022AH050016) (哲学社会科学类)

现代信息科技

2096-4706

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