Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/17022
Title: | Review opinions search engine | Authors: | Dong, Wei | Keywords: | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval | Issue Date: | 2009 | Abstract: | Wouldn't it be great if you can instantly search user reviews and opinions on any products and services? And you do not want to waste time looking through all the reviews from all different reviews website? ReviewLab is there for you! ReviewLab.com is a one-stop reviews and opinions search engine with rich user interfaces for a wide variety of products and services. We promise to provide users with high quality reviews and opinions to make informed purchasing decisions. What's more? We are available in both Chinese and English languages, with still more language supports to come. Advanced machine learning and data mining techniques have been employed to build a back-end system that is robust, automated and intelligent. Our smart crawler engine is able to craw products information and raw reviews from many websites; our intelligent information extraction engine is able to discover useful and hidden information from huge amount of data; our sentiment classifier is able to train dataset and create models to classify user reviews. What's more? All these engines have been automated. | URI: | http://hdl.handle.net/10356/17022 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wei Dong 09.pdf Restricted Access | 1.78 MB | Adobe PDF | View/Open |
Page view(s) 50
505
Updated on Mar 26, 2025
Download(s)
7
Updated on Mar 26, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.