Lisette García-Moya, Shahad Kudama, M. Cabo, Rafael Berlanga Llavori
{"title":"Integrating web feed opinions into a corporate data warehouse","authors":"Lisette García-Moya, Shahad Kudama, M. Cabo, Rafael Berlanga Llavori","doi":"10.1145/1966883.1966891","DOIUrl":null,"url":null,"abstract":"Web opinion feeds have become one of the most popular information sources users consult before buying products or contracting services. Negative opinions about some product can have a high impact in its sales figures. As a consequence, companies are more and more concerned about how to integrate this information in their Business Intelligence (BI) models so that they can predict sales figures or define new strategic goals. In this paper, we present an approach to integrate sentiment data extracted from web feeds into the corporate warehouse where company analytical data and models are stored. Such an integration allows users to perform new analysis tasks by using the traditional OLAP-based data warehouse operators. We have developed a case study over a set of real opinions about digital devices which are offered by a wholesaler company. Over this case study, the quality of the extracted sentiment data is evaluated, and some query examples that illustrate the potential uses of the integrated model are presented.","PeriodicalId":238578,"journal":{"name":"BEWEB '11","volume":"122 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BEWEB '11","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1966883.1966891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Web opinion feeds have become one of the most popular information sources users consult before buying products or contracting services. Negative opinions about some product can have a high impact in its sales figures. As a consequence, companies are more and more concerned about how to integrate this information in their Business Intelligence (BI) models so that they can predict sales figures or define new strategic goals. In this paper, we present an approach to integrate sentiment data extracted from web feeds into the corporate warehouse where company analytical data and models are stored. Such an integration allows users to perform new analysis tasks by using the traditional OLAP-based data warehouse operators. We have developed a case study over a set of real opinions about digital devices which are offered by a wholesaler company. Over this case study, the quality of the extracted sentiment data is evaluated, and some query examples that illustrate the potential uses of the integrated model are presented.