{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T07:57:24Z","timestamp":1764403044563,"version":"3.41.2"},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T00:00:00Z","timestamp":1609804800000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71901027"],"award-info":[{"award-number":["71901027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the development of the digital economy, the emerging marketing strategy of the e\u2010commerce flash sales has been changing the traditional purchasing habits of customers. This imposes new decision\u2010making challenges for companies involved in flash sales. It is important for companies to build the accurate product demand forecast analysis focusing on the characteristics of the flash sales and customer behaviors. In this paper, VIPS (Weipinhui, a Chinese e\u2010commerce platform) is taken as a case study with the key focus on how sentiment factors in customer reviews affect product demand in flash sale platforms. The paper adopts two sentiment analysis methods based on emotional dictionaries. The method with a higher evaluation index is adopted to integrate the emotional factors into the autoregressive model for product demand and assessment. The experiments prove that the autoregressive model for integrating the sentiment factors demonstrates better forecasting performances than the models without sentiment factors. The experiments further confirm that when product demand for the previous two weeks and customer review sentiment factors in the previous week are taken into consideration, demand forecast effects are most accurate.<\/jats:p>","DOI":"10.1155\/2021\/6648009","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T20:20:31Z","timestamp":1609878031000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3198-364X","authenticated-orcid":false,"given":"Mingyang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yixin","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1323-3172","authenticated-orcid":false,"given":"Zhiguo","family":"Wu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/13675567.2018.1454416"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.02.051"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1002\/dir.1014"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1509\/jmkg.74.2.133"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10799-008-0041-2"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.14743\/apem2019.1.315"},{"key":"e_1_2_9_7_2","first-page":"1729","article-title":"Supply chain joint inventory management and cost optimization based on ant colony algorithm and fuzzy model","volume":"26","author":"Yu W.","year":"2019","journal-title":"Tehni\u010dkivjesnik"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.2507\/ijsimm17(2)425"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.14743\/apem2019.1.314"},{"key":"e_1_2_9_10_2","first-page":"26","article-title":"Macy\u2019s plan: boots, bieber","author":"Mattioli D.","year":"2011","journal-title":"The Wall Street Journal"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2014.03.005"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2018.11.007"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1287\/msom.2015.0561"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1111\/poms.12296"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-013-0268-2"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-012-0085-3"},{"key":"e_1_2_9_17_2","article-title":"Using data mining methods to solve classification problems in financial-banking institutions","volume":"54","author":"Voican O.","year":"2020","journal-title":"Economic Computation and Economic Cybernetics Studies and Research"},{"key":"e_1_2_9_18_2","first-page":"40","article-title":"A big data based cosmetic recommendation algorithm","volume":"10","author":"Yoon J.","year":"2020","journal-title":"Journal of System and Management Sciences"},{"key":"e_1_2_9_19_2","first-page":"87","article-title":"Analysis of relation between customer behavior and information Technology market","volume":"9","author":"Kurunathan D.","year":"2019","journal-title":"Journal of System and Management Sciences"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04504-2"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04248-z"},{"key":"e_1_2_9_22_2","first-page":"55","article-title":"Research on internet search data in China\u2019s social problems under the background of big data","volume":"5","author":"Fu L.","year":"2018","journal-title":"Journal of Logistics, Informatics and Service Science"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.08.003"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.2507\/IJSIMM17(3)433"},{"key":"e_1_2_9_25_2","unstructured":"PangB. 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