{"title":"了解客户对电子商务配送服务的看法","authors":"Liangqiang Li, Hua Yuan, Yu Qian, Yong Xiang","doi":"10.1109/ICSSSM.2013.6602596","DOIUrl":null,"url":null,"abstract":"In this work, we propose a method to combine both the “purchasing-reviewing” behavior dynamics and reviewing sentiments to find when would the customers like to review the E-commerce delivery service after purchasing, and what were the exact sentiments in these reviews on delivery service. The experimental results indicate that the proposed methods can extract information about customers' sentiments on E-commerce delivery service efficiently from the massive online review data.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Learning the customer sentiments about E-commerce delivery service\",\"authors\":\"Liangqiang Li, Hua Yuan, Yu Qian, Yong Xiang\",\"doi\":\"10.1109/ICSSSM.2013.6602596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose a method to combine both the “purchasing-reviewing” behavior dynamics and reviewing sentiments to find when would the customers like to review the E-commerce delivery service after purchasing, and what were the exact sentiments in these reviews on delivery service. The experimental results indicate that the proposed methods can extract information about customers' sentiments on E-commerce delivery service efficiently from the massive online review data.\",\"PeriodicalId\":354195,\"journal\":{\"name\":\"2013 10th International Conference on Service Systems and Service Management\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2013.6602596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2013.6602596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning the customer sentiments about E-commerce delivery service
In this work, we propose a method to combine both the “purchasing-reviewing” behavior dynamics and reviewing sentiments to find when would the customers like to review the E-commerce delivery service after purchasing, and what were the exact sentiments in these reviews on delivery service. The experimental results indicate that the proposed methods can extract information about customers' sentiments on E-commerce delivery service efficiently from the massive online review data.