我国分布式光伏工程舆情主题分布及情感特征分析——以抖音平台为例
Analysis of Public Opinion Theme Distribution and Emotional Characteristics of Distributed Photovoltaic Projects in China—Taking the Douyin Platform as an Example
摘要: 本研究爬取了抖音平台有关分布式光伏的视频数据和对应评论数据,运用BERTopic模型开展主题建模,运用StructBERT模型进行情感分析,探究分布式光伏舆情的主题分布与情感特征。研究发现,民众关切覆盖评估决策、安装、运维全生命周期的15个细分主题,评估决策阶段关注度最高;舆情整体呈现“关注度与负面情感正相关”规律,各阶段情感特征差异显著,评论情感还存在华北、华中正向领先,东南沿海、西北负面集中的空间梯度分化,且平台舆情以负面传播为主、正向科普关注度低。基于研究结果,本文从规范市场秩序、强化风险防控与区域差异化发展、健全舆情治理与正向引导三方面提出政策建议,为分布式光伏产业高质量发展提供参考。
Abstract: This study crawls the video data and corresponding comment data of distributed photovoltaic on the Douyin platform, uses the BERTopic model to carry out theme modeling, and combines the StructBERT model to conduct sentiment analysis, so as to explore the theme distribution and emotional characteristics of distributed photovoltaic public opinion. The study found that public concerns covered 15 sub-topics covering the entire life cycle of evaluation decision-making, installation, and operation and maintenance, and the evaluation decision-making stage received the highest attention. Public opinion as a whole shows the law of “positive correlation between attention and negative emotion”, and the emotional characteristics of each stage are significantly differentiated, and there is also a spatial gradient differentiation of comment sentiment in North China and Central China, and negative concentration in the southeast coast and northwest frontier, and the public opinion on the platform is dominated by negative communication and low attention to positive science popularization. Based on the research results, this paper puts forward policy suggestions from three aspects: standardizing market order, strengthening risk prevention and control and regional differentiated development, improving public opinion governance and positive guidance, and providing reference for the high-quality development of the distributed photovoltaic industry.
文章引用:陈琳. 我国分布式光伏工程舆情主题分布及情感特征分析——以抖音平台为例[J]. 统计学与应用, 2026, 15(4): 40-50. https://doi.org/10.12677/sa.2026.154069

参考文献

[1] 赵勇强. 国际可再生能源发展与全球能源治理变革[J]. 宏观经济研究, 2017(4): 43-54.
[2] 付靖轩. “双碳”背景下中国光伏下游产业链投资机会分析[J]. 河北企业, 2024(9): 47-49.
[3] 张珍珍, 吕清泉, 张健美. “双碳”目标下分布式光伏发电技术的研究进展及展望[J]. 太阳能, 2023(1): 17-21.
[4] 吕涛, 孟祥蕴. 分布式光伏开发公众评论的情感倾向及引导策略[J]. 中国矿业大学学报(社会科学版), 2024, 26(3): 115-128.
[5] 杨正. 离身认可与具身恐惧: 人脸识别公众态度研究——基于微博数据的情感与主题分析[J]. 湖南师范大学社会科学学报, 2023, 52(6): 39-49.
[6] 张馨月, 孙仕林, 岳桂云. “双碳”背景下村集体角色与农户光伏安装意愿——基于烟台市的实证分析[J]. 中国集体经济, 2023(27): 5-8.
[7] 陈彤娅, 徐千淇, 包存宽. 退补背景下商用分布式光伏安装意愿及其影响机制研究——基于扩展计划行为理论的实证分析[J]. 复旦学报(自然科学版), 2023, 62(5): 595-604.
[8] 梅应丹, 邱纪翔, 许杏柏, 等. 网络效应对家庭分布式光伏发电行为的影响[J]. 中国人口·资源与环境, 2022, 32(3): 28-37.
[9] Lau, L., Choong, Y., Wei, C., Seow, A., Choong, C., Senadjki, A., et al. (2020) Investigating Nonusers’ Behavioural Intention Towards Solar Photovoltaic Technology in Malaysia: The Role of Knowledge Transmission and Price Value. Energy Policy, 144, Article 111651. [Google Scholar] [CrossRef
[10] Parkins, J.R., Rollins, C., Anders, S. and Comeau, L. (2018) Predicting Intention to Adopt Solar Technology in Canada: The Role of Knowledge, Public Engagement, and Visibility. Energy Policy, 114, 114-122. [Google Scholar] [CrossRef
[11] Wu, M., Long, R., Chen, F., Chen, H., Bai, Y., Cheng, K., et al. (2023) Spatio-Temporal Difference Analysis in Climate Change Topics and Sentiment Orientation: Based on LDA and BiLSTM Model. Resources, Conservation and Recycling, 188, Article 106697. [Google Scholar] [CrossRef
[12] 赵云泽, 项甜甜. 社交媒体中健康争议性话题传播研究[J]. 新闻春秋, 2022(5): 30-37.
[13] 吴文汐, 乔秀宏. 社交媒体影像中的转基因:争议性科技的媒介再现与受众反馈[J]. 现代传播(中国传媒大学学报), 2019, 41(4): 69-75.
[14] Jung, S., Murthy, D., Bateineh, B.S., Loukas, A. and Wilkinson, A.V. (2024) The Normalization of Vaping on Tiktok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study. Journal of Medical Internet Research, 26, e55591. [Google Scholar] [CrossRef] [PubMed]
[15] 阎国华, 韩硕. 热点事件网络评议衍生意识形态风险的路径与防范[J]. 中国矿业大学学报(社会科学版), 2022, 24(1): 31-42.
[16] 朱乐, 李秋萍, 朱燚丹. 基于深度学习的“教育公平”网络舆情分析[J]. 情报探索, 2020(6): 40-47.
[17] 韩小伟, 张传洋, 张起超, 等. 大数据背景下突发公共事件网络舆情情感演化及舆情引导策略研究[J]. 情报科学, 2024, 42(2): 56-63.