{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:24:57Z","timestamp":1740119097441,"version":"3.37.3"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2662017PY046","2662018PY096"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012325","name":"National Social Science Foundation of China","doi-asserted-by":"publisher","award":["13CJY104"],"id":[{"id":"10.13039\/501100012325","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009997","name":"Earmarked Fund for Modern Agro-industry Technology Research System","doi-asserted-by":"crossref","award":["CARS-23-F01","CARS-21"],"id":[{"id":"10.13039\/501100009997","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Future Generation Computer Systems"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1016\/j.future.2019.07.016","type":"journal-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T11:12:02Z","timestamp":1562843522000},"page":"876-888","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["Investigation in the influences of public opinion indicators on vegetable prices by corpora construction and WeChat article analysis"],"prefix":"10.1016","volume":"102","author":[{"given":"Youzhu","family":"Li","sequence":"first","affiliation":[]},{"given":"Huiling","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Zhonglong","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shunjie","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhouyang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Daniela","family":"Gifu","sequence":"additional","affiliation":[]},{"given":"Jingbo","family":"Xia","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.future.2019.07.016_b1","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.future.2018.05.045","article-title":"Research on agricultural monitoring system based on convolutional neural network","volume":"88","author":"Chen","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"10.1016\/j.future.2019.07.016_b2","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1111\/j.1574-0862.2008.00345.x","article-title":"Anatomy of a crisis: the causes and consequences of surging food prices","volume":"39","author":"Headey","year":"2008","journal-title":"Agric. Econ."},{"issue":"4","key":"10.1016\/j.future.2019.07.016_b3","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1111\/j.1728-4457.2008.00245.x","article-title":"Food price surges: possible causes, past experience, and longer term relevance","volume":"34","author":"Alexandratos","year":"2008","journal-title":"Popul. Dev. Rev."},{"issue":"1","key":"10.1016\/j.future.2019.07.016_b4","first-page":"12","article-title":"Economic effectiveness of activities of vegetable growers\u2019 associations in Serbia","volume":"12","author":"Cicea","year":"2009","journal-title":"Economia Seria Manage."},{"key":"10.1016\/j.future.2019.07.016_b5","series-title":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","first-page":"424","article-title":"Radial basis function model for vegetable price prediction","author":"Hemageetha","year":"2013"},{"key":"10.1016\/j.future.2019.07.016_b6","series-title":"2015 8th International Conference on Intelligent Computation Technology and Automation, ICICTA","first-page":"1093","article-title":"Vegetable price prediction based on PSO-BP neural network","author":"Lu","year":"2015"},{"key":"10.1016\/j.future.2019.07.016_b7","article-title":"Vegetable prices prediction model based on time-series wavelet neural network","author":"Qian","year":"2016","journal-title":"J. Luoyang Inst. Sci. Technol. (Natural Science Edition)"},{"issue":"05","key":"10.1016\/j.future.2019.07.016_b8","article-title":"Vegetable market price forecasting based on genetic algorithm and Gaussian process regression","volume":"5","author":"Tang","year":"2017","journal-title":"J. Changchun Finance College"},{"issue":"1","key":"10.1016\/j.future.2019.07.016_b9","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.ijinfomgt.2015.09.001","article-title":"Organisational sustainability modelling\u2014An emerging service and analytics model for evaluating cloud computing adoption with two case studies","volume":"36","author":"Chang","year":"2016","journal-title":"Int. J. Inf. Manage."},{"key":"10.1016\/j.future.2019.07.016_b10","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.knosys.2017.03.003","article-title":"Towards data analysis for weather cloud computing","volume":"127","author":"Chang","year":"2017","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.future.2019.07.016_b11","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.techfore.2017.11.002","article-title":"A proposed social network analysis platform for big data analytics","volume":"130","author":"Chang","year":"2018","journal-title":"Technol. Forecast. Soc. Change"},{"key":"10.1016\/j.future.2019.07.016_b12","series-title":"LREc. 2010, vol. 10","first-page":"1320","article-title":"Twitter as a corpus for sentiment analysis and opinion mining","author":"Pak","year":"2010"},{"key":"10.1016\/j.future.2019.07.016_b13","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.knosys.2013.01.001","article-title":"Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news","volume":"41","author":"Yu","year":"2013","journal-title":"Knowl.-Based Syst."},{"issue":"11","key":"10.1016\/j.future.2019.07.016_b14","doi-asserted-by":"crossref","first-page":"4999","DOI":"10.1016\/j.eswa.2015.02.007","article-title":"Fine-grained analysis of explicit and implicit sentiment in financial news articles","volume":"42","author":"Van\u00a0de Kauter","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.future.2019.07.016_b15","series-title":"Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining","first-page":"78","article-title":"The predictive power of online chatte","author":"Gruhl","year":"2005"},{"issue":"2","key":"10.1016\/j.future.2019.07.016_b16","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s11192-006-0108-y","article-title":"Quantitative evaluation of positive or negative feelings for biotechnology-or health-related scenes in movies","volume":"68","author":"Fujimaki","year":"2006","journal-title":"Scientometrics"},{"issue":"1","key":"10.1016\/j.future.2019.07.016_b17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","article-title":"Twitter mood predicts the stock market","volume":"2","author":"Bollen","year":"2011","journal-title":"J. Comput. Sci."},{"issue":"4","key":"10.1016\/j.future.2019.07.016_b18","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/TKDE.2010.269","article-title":"Mining online reviews for predicting sales performance: A case study in the movie domain","volume":"24","author":"Yu","year":"2012","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.future.2019.07.016_b19","series-title":"Chinese National Conference on Social Media Processing","first-page":"28","article-title":"A Gaussian copula regression model for movie box-office revenue prediction with social media","author":"Duan","year":"2015"},{"key":"10.1016\/j.future.2019.07.016_b20","first-page":"277","article-title":"A model for predicting movie\u2019s performance using online rating and revenue","volume":"4","author":"Valentine","year":"2013","journal-title":"Int. J. Sci. Eng. Res."},{"key":"10.1016\/j.future.2019.07.016_b21","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.econmod.2015.04.005","article-title":"How does google search affect trader positions and crude oil prices?","volume":"49","author":"Li","year":"2015","journal-title":"Econ. Model."},{"key":"10.1016\/j.future.2019.07.016_b22","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.1016\/j.apenergy.2013.03.027","article-title":"How does market concern derived from the internet affect oil prices?","volume":"112","author":"Guo","year":"2013","journal-title":"Appl. Energy"},{"issue":"3","key":"10.1016\/j.future.2019.07.016_b23","first-page":"209","article-title":"Vegetable price prediction using unstructured web-based data: An application to garlic, onion, and pepper in Korea","volume":"57","author":"Yoo","year":"2016","journal-title":"Korean J.of Agric. Econ. (KJAT)"},{"year":"1961","series-title":"Principles of Economics: An Introductory Volume","author":"Marshall","key":"10.1016\/j.future.2019.07.016_b24"},{"issue":"2","key":"10.1016\/j.future.2019.07.016_b25","doi-asserted-by":"crossref","first-page":"187","DOI":"10.2307\/1239554","article-title":"The effects of changing input costs on food prices","volume":"63","author":"Lamm","year":"1981","journal-title":"Am. J. Agric. Econ."},{"issue":"4","key":"10.1016\/j.future.2019.07.016_b26","doi-asserted-by":"crossref","first-page":"739","DOI":"10.2307\/1241813","article-title":"Competitive storage, rational expectations, and short-run food price determination","volume":"67","author":"Wohlgenant","year":"1985","journal-title":"Am. J. Agric. Econ."},{"issue":"4","key":"10.1016\/j.future.2019.07.016_b27","doi-asserted-by":"crossref","first-page":"3823","DOI":"10.3390\/su7043823","article-title":"Construction of an early-warning system for vegetable prices based on index contribution analysis","volume":"7","author":"Li","year":"2015","journal-title":"Sustainability"},{"key":"10.1016\/j.future.2019.07.016_b28","doi-asserted-by":"crossref","unstructured":"Yoon Kim, Convolutional neural networks for sentence classification, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP, 2014, pp. 1746\u20131751.","DOI":"10.3115\/v1\/D14-1181"},{"issue":"Aug","key":"10.1016\/j.future.2019.07.016_b29","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"Collobert","year":"2011","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"10.1016\/j.future.2019.07.016_b30","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s10723-017-9393-3","article-title":"Financial modeling and prediction as a service","volume":"15","author":"Chang","year":"2017","journal-title":"J. Grid Comput."},{"issue":"3","key":"10.1016\/j.future.2019.07.016_b31","first-page":"18","article-title":"Classification and regression by random forest","volume":"2","author":"Liaw","year":"2002","journal-title":"R News"},{"key":"10.1016\/j.future.2019.07.016_b32","first-page":"022","article-title":"Support vector machines for regression","volume":"11","author":"Du","year":"2003","journal-title":"Acta Simul. Syst. Sin."},{"year":"2017","series-title":"Classification and Regression Trees","author":"Breiman","key":"10.1016\/j.future.2019.07.016_b33"},{"issue":"4","key":"10.1016\/j.future.2019.07.016_b34","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.ijforecast.2006.03.001","article-title":"Another look at measures of forecast accuracy","volume":"22","author":"Hyndman","year":"2006","journal-title":"Int. J. Forecast."},{"key":"10.1016\/j.future.2019.07.016_b35","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1016\/j.future.2013.12.028","article-title":"The business intelligence as a service in the cloud","volume":"37","author":"Chang","year":"2014","journal-title":"Future Gener. Comput. Syst."},{"year":"2006","series-title":"Theory of Point Estimation","author":"Lehmann","key":"10.1016\/j.future.2019.07.016_b36"},{"issue":"1","key":"10.1016\/j.future.2019.07.016_b37","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3354\/cr030079","article-title":"Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance","volume":"30","author":"Willmott","year":"2005","journal-title":"Clim. Res."},{"year":"1960","series-title":"Principles and Procedures of Statistics: With Special Reference to the Biological Sciences","author":"Torrie","key":"10.1016\/j.future.2019.07.016_b38"}],"container-title":["Future Generation Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X18327341?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X18327341?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,2,4]],"date-time":"2020-02-04T08:40:43Z","timestamp":1580805643000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167739X18327341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":38,"alternative-id":["S0167739X18327341"],"URL":"https:\/\/doi.org\/10.1016\/j.future.2019.07.016","relation":{},"ISSN":["0167-739X"],"issn-type":[{"type":"print","value":"0167-739X"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Investigation in the influences of public opinion indicators on vegetable prices by corpora construction and WeChat article analysis","name":"articletitle","label":"Article Title"},{"value":"Future Generation Computer Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.future.2019.07.016","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}