近年来，阳光玫瑰葡萄凭借独特口感在中国市场迅速扩张，但由于种植规模扩张引发品质分化与价格波动等问题，影响了产业的健康和可持续发展。本研究基于爬取的新浪微博阳光玫瑰博文大数据，通过LDA模型进行评论文本主题分析，基于SnowNLP进行消费者情感分析，系统挖掘公众对阳光玫瑰葡萄的舆情动态。研究发现，公众关注焦点集中于价格下跌、口感变化及农药残留争议。主题分析识别出品种特性与品种间比较、感官品质与安全性、价格与消费体验三类核心主题。情感分析中负面情感略高于正面，负面情感多源于口味不满、品质下降及安全担忧，正面评价则聚焦味道、便宜等特性。通过了解民众关注焦点与情感倾向，本研究可为合理规划阳光玫瑰葡萄产业发展、调整栽培措施、改良产品特性等提供参考。

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.