Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18983
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dc.contributor.authorChew, Kok Soon.-
dc.date.accessioned2009-08-26T07:48:03Z-
dc.date.available2009-08-26T07:48:03Z-
dc.date.copyright2009en_US
dc.date.issued2009-
dc.identifier.urihttp://hdl.handle.net/10356/18983-
dc.description.abstractWith this project, we hope to enable users to be able to compare products accurately and have the luxury of checking out the products' reviews from other users, just through our one-stop ROSE web portal. This report documents on improving the labeling process of the reviews and segments in the Review/Opinion Search Engine (ROSE) database. The initial problems and the solutions proposed are included in this report. Some possible competitors and their projects are also highlighted. In order to provide this wonderful web portal to serve the consumers, it is important that the reviews and segments are properly and efficiently labeled. This is to ensure that there is a sufficient quantity of data that is useful and at the same time, spamfree. However, with the humongous amount of data, a good system is needed to prevent time and manpower wastage.en_US
dc.format.extent37 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen_US
dc.titleReviews opinion search engine (ROSE)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChang Kuiyuen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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