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非洲猪瘟舆情信息对我国猪肉价格波动影响的研究
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Abstract:
非洲猪瘟自2018年8月爆发以来，对我国生猪产业和人民生活带来了重大的影响。为了实现猪瘟舆情的量化以及研究非洲猪瘟舆情与猪价的传导关系，以及猪价空间分布情况。本文利用从LDA主题模型，支持向量机、随机森林、梯度下降等机器学习构造情感分类器，TF-IDF计算特征词权重加权计算出非洲猪瘟舆情指数，并通过VAR模型研究舆情指数与猪价的传导关系，最后再利用空间自相关分析方法分析猪价的省域特征，并用聚类分析加以验证。本文丰富了非洲猪瘟舆情分析的研究方法，并首次将舆情的文本处理方法应用于猪瘟舆情分析，为国内相关企业和政府对于生猪的生产调控和猪肉定价等提供了参考意见。
Since the outbreak of the African Swine Fever in August 2018, it has had a significant impact on my country’s pig industry and people’s lives. In order to quantify the public opinion of swine fever and study the conduction relationship between the public opinion of African swine fever and the prices of pigs, as well as the spatial distribution of pig prices. This paper uses machine learning from the LDA topic model, support vector machine, random forest, gradient descent to construct sentiment classifier, uses TF-IDF to calculate the weight of feature words to calculate the African swine fever public opinion index, and uses the VAR model to study the conduction relationship between the public opinion index and pig prices. Finally, the spatial autocorrelation analysis method is used to analyze the provincial characteristics of pig prices, and cluster analysis is used to verify it. This article enriches the research methods of African swine fever public opinion analysis, and for the first time the text processing method of public opinion to be applied to the public opinion analysis of swine fever, and provides reference opinions for domestic-related enterprises and governments on pig production regulation and pork pricing.
| [1] | 胡浩, 戈阳. 非洲猪瘟疫情对我国生猪生产与市场的影响[J]. 中国畜牧杂志, 2020, 56(1): 168-172. |
| [2] | 梁兴群, 夏庆利. 非洲猪瘟疫情对我国生猪产业的影响[J]. 饲料与畜牧, 2019(6): 58-63. |
| [3] | 赵静. 探讨非洲猪瘟对我国养猪业的影响与防控[J]. 农家参谋, 2020(23): 63. |
| [4] | 肖和良. 浅析中国非洲猪瘟疫苗研制最新进展[J]. 中国畜牧业, 2019(21): 53-54. |
| [5] | 苗珊珊. 突发事件信息冲击对猪肉价格波动的影响[J]. 管理评论, 2018, 30(9): 246-255. |
| [6] | 马名慧, 邵喜武. 非洲猪瘟疫情下我国生猪产业价格传导机制研究——基于VAR模型的实证分析[J]. 价格月刊, 2020(3): 7-14. |
| [7] | 段琮琮, 刘灵芝. 非洲猪瘟疫情影响下我国畜禽产品价格波动的动态关系研究——基于舆情管理视角[J]. 农业现代化研究, 2020, 41(4): 678-686. |
| [8] | 杨霞, 黄陈英. 文本挖掘综述[J]. 科技信息, 2009(33): 82+99. |
| [9] | 王勇, 吕学强, 姬连春, 肖诗斌. 基于极性词典的中文微博客情感分类[J]. 计算机应用与软件, 2014, 31(1): 34-37+126. |
| [10] | 张成功, 刘培玉, 朱振方, 方明. 一种基于极性词典的情感分析方法[J]. 山东大学学报(理学版), 2012, 47(3): 47-50. |
| [11] | Turney, P.D. and Littman, M.L. (2003) Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems, 21, 315-346. https://doi.org/10.1145/944012.944013 |
| [12] | Yang, A.M., Lin, J.H., Zhou, Y.M., et al. (2012) Re-search on Building a Chinese Sentiment Lexicon Based on SO-PMI. Applied Mechanics & Materials, 263-266, 1688-1693. https://doi.org/10.4028/www.scientific.net/AMM.263-266.1688 |
| [13] | 李婷婷, 姬东鸿. 基于SVM和CRF多特征组合的微博情感分析[J]. 计算机应用研究, 2015, 32(4): 978-981. |
| [14] | 李晓东. 隐朴素贝叶斯在情感分类中的应用研究[D]: [硕士学位论文]. 衡阳: 南华大学, 2019. |
| [15] | 郑志伟, 邱佳玲, 阳庆玲, 龚晓春, 郭山清, 贾忠伟, 郝春. 随机森林对文本情感分析的应用与R软件实现[J]. 现代预防医学, 2018, 45(8): 1345-1348+1353. |
| [16] | Alqaryouti, O., Siyam, N., Monem, A.A. and Shaalan, K. (2019) Aspect-Based Sentiment Analysis Using Smart Government Review Data. Applied Computing and Informatics, 1-20. https://doi.org/10.1016/j.aci.2019.11.003 |
| [17] | Soumya, S. and Pramod, K.V. (2020) Sentiment Analysis of Mala-yalam Tweets Using Machine Learning Techniques. ICT Express, 6, 300-305. |
| [18] | Dey, L., Chakraborty, S., Biswas, A., Bose, B. and Tiwari, S. (2016) Sentiment Analysis of Review Datasets Using Na？ve Bayes’ and K-NN Classifier. International Journal of Information Engineering and Electronic Business (IJIEEB), 8, 54-62. https://doi.org/10.5815/ijieeb.2016.04.07 |
| [19] | 金志刚, 胡博宏, 张瑞. 基于深度学习的多维特征微博情感分析[J]. 中南大学学报(自然科学版), 2018, 49(5): 1135-1140. |
| [20] | 王宏生, 金相宇. 基于深度学习的中文电商评论情感分析[J]. 信息通信, 2018(3): 51-53. |
| [21] | 何炎祥, 孙松涛, 牛菲菲, 李飞. 用于微博情感分析的一种情感语义增强的深度学习模型[J]. 计算机学报, 2017, 40(4): 773-790. |
| [22] | 吴鹏, 刘恒旺, 沈思. 基于深度学习和OCC情感规则的网络舆情情感识别研究[J]. 情报学报, 2017, 36(9): 972-980. |
| [23] | 石凤贵. 中文文本分词及其可视化技术研究[J]. 现代计算机, 2020(12): 131-138+148. |
| [24] | 洪巍, 李敏. 文本情感分析方法研究综述[J]. 计算机工程与科学, 2019, 41(4): 750-757. |
| [25] | Xu, J.P., Tang, W.Y., Zhang, Y. and Wang, F.J. (2020) A Dynamic Dis-semination Model for Recurring Online Public Opinion. Nonlinear Dynamics, 99, 1269-1293. https://doi.org/10.1007/s11071-019-05353-3 |
| [26] | ？echura, L. and ？obrová, L. (2008) The Price Transmission in Pork Meat Agri-Food Chain. Agricultural Economics, 54, 77-84. https://doi.org/10.17221/272-AGRICECON |
| [27] | 谭莹, 周建军, 何勤英. 我国猪肉价格波动的省际空间传导研究[J]. 价格理论与实践, 2017(5): 65-68. |
| [28] | 王刚毅, 王孝华, 李洪姝. 中国生猪价格空间溢出效应研究——基于同步系数矩阵的空间计量分析[J]. 农业现代化研究, 2018, 39(1): 105-112. |
| [29] | Blei, D.M., Ng, A.Y. and Jordan, M.I. (2003) Latent Dirichlet Allocation. The Jour-nal of Machine Learning Research, 3, 993-1022. |
| [30] | 杨俊闯, 赵超. K-Means聚类算法研究综述[J]. 计算机工程与应用, 2019, 55(23): 7-14+63. |
