农业大数据学报2025，Vol.7Issue(4)：496-505,10.DOI:10.19788/j.issn.2096-6369.000113
基于微博大数据的阳光玫瑰葡萄舆情挖掘与分析
Public Opinion Mining and Analysis of Shine-Muscat Grapes Based on Weibo Big Data
摘要
Abstract
In recent years,the Shine-Muscat grape has rapidly expanded in the Chinese market due to its unique taste.However,the expansion of its cultivation scale has led to issues such as quality differentiation and price fluctuations,which have adversely affected the healthy and sustainable development of the industry.This study systematically explores public sentiment dynamics regarding Shine-Muscat grapes based on a large dataset of Weibo posts,using Latent Dirichlet Allocation(LDA)for topic modeling of comment texts and SnowNLP for consumer sentiment analysis.The findings reveal that public attention is primarily focused on price declines,taste variations,and pesticide residue disputes.Topic analysis identifies three core themes:variety characteristics and inter-variety comparisons,sensory quality and safety,and price and consumption experience.Sentiment analysis indicates that negative sentiments slightly outnumber positive ones,with negative emotions primarily stemming from dissatisfaction with taste,declining quality,and safety concerns,while positive evaluations highlight characteristics such as seedlessness and juiciness.By understanding public concerns and sentiment tendencies,this study provides a reference for the rational planning of the development of the Shine-Muscat grape industry,the adjustment of cultivation practices,and the improvement of product characteristics.关键词
阳光玫瑰葡萄/舆情挖掘/主题识别/情感分析Key words
Shine-Muscat grapes/public opinion mining/topic identification/sentiment analysis引用本文复制引用
冯建英,苗靖邦,杨紫晗,张乐,穆维松..基于微博大数据的阳光玫瑰葡萄舆情挖掘与分析[J].农业大数据学报,2025,7(4):496-505,10.基金项目
现代农业产业技术体系-国家葡萄产业技术体系(CARS-29). （CARS-29）
