基于弹幕文本挖掘的猪肉价格上涨舆论研究  

Public opinion research on pork price rise based on bullet chat text mining

作　　者：陈朝昱 刘贺 彭子欣 Chen Zhaoyu;Liu He;Peng Zixin(School of Business,Guilin University of Electronic Technology,Guilin,Guangxi 541000,China)

机构地区：[1]桂林电子科技大学商学院,广西桂林541000

出　　处：《计算机时代》2023年第9期129-131,141,共4页Computer Era

摘　　要：弹幕作为一种新的交互方式,能直观反映猪肉价格上涨时间对公众舆论产生的影响。本文以弹幕文本信息为研究对象,利用词频、语义网络分析、LDA主题挖掘和SnowNLP情感分析模型等方法,进行了内容分析与情感解读,实现对网络舆情弹幕的情感分类和主题分析。在此基础上建立了物价预测模型。该项研究可为相关政策的调整提供一定的参考。As a new interactive way,bullet chat can directly reflect the impact of pork price rise on public opinion.In this paper,taking the bullet chat text information as the research object,using the methods of word frequency,semantic network analysis,LDA topic mining and SnowNLP sentiment analysis model,we carried out the content analysis and sentiment interpretation,so as to realize the sentiment classification and theme analysis of the online public opinion.On this basis,a price prediction model is established,which can provide certain reference for the regulation of relevant policies.

关 键 词：价格上涨 文本发掘 BP神经网络模型 弹幕 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]