{"title":"一个分析在线顾客评价的框架","authors":"Karl Mesarosh, Fu-Shing Sun","doi":"10.1109/ICSEng.2017.19","DOIUrl":null,"url":null,"abstract":"We present our preliminary results on building a framework for analyzing online ratings. There are four major components constructed in this framework including data retrieval, data processing, data analytics, and data visualization. The data retrieval module is responsible for scraping or streaming online rating data. Cleaning, filtering, and parsing unstructured data are done in the data processing module. Once the data is ready for computation, the data analytics module computes the desired analytics, and finally the data visualization module displays the meaningful findings to the users. A testbed using popular online rating data is implemented and its results and findings are discussed in this paper.","PeriodicalId":202005,"journal":{"name":"2017 25th International Conference on Systems Engineering (ICSEng)","volume":"33 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Framework for Analyzing Online Customer Ratings\",\"authors\":\"Karl Mesarosh, Fu-Shing Sun\",\"doi\":\"10.1109/ICSEng.2017.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present our preliminary results on building a framework for analyzing online ratings. There are four major components constructed in this framework including data retrieval, data processing, data analytics, and data visualization. The data retrieval module is responsible for scraping or streaming online rating data. Cleaning, filtering, and parsing unstructured data are done in the data processing module. Once the data is ready for computation, the data analytics module computes the desired analytics, and finally the data visualization module displays the meaningful findings to the users. A testbed using popular online rating data is implemented and its results and findings are discussed in this paper.\",\"PeriodicalId\":202005,\"journal\":{\"name\":\"2017 25th International Conference on Systems Engineering (ICSEng)\",\"volume\":\"33 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th International Conference on Systems Engineering (ICSEng)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSEng.2017.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th International Conference on Systems Engineering (ICSEng)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEng.2017.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present our preliminary results on building a framework for analyzing online ratings. There are four major components constructed in this framework including data retrieval, data processing, data analytics, and data visualization. The data retrieval module is responsible for scraping or streaming online rating data. Cleaning, filtering, and parsing unstructured data are done in the data processing module. Once the data is ready for computation, the data analytics module computes the desired analytics, and finally the data visualization module displays the meaningful findings to the users. A testbed using popular online rating data is implemented and its results and findings are discussed in this paper.
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