Review opinions search engine
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...
| Main Author: | |
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/17022 |
| _version_ | 1811685336417304576 |
|---|---|
| author | Dong, Wei |
| author2 | Chang Kuiyu |
| author_facet | Chang Kuiyu Dong, Wei |
| author_sort | Dong, Wei |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:42:54Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/17022 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:42:54Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/170222023-03-03T20:43:53Z Review opinions search engine Dong, Wei Chang Kuiyu School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 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. Bachelor of Engineering (Computer Engineering) 2009-05-29T04:02:00Z 2009-05-29T04:02:00Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17022 en Nanyang Technological University 93 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Dong, Wei Review opinions search engine |
| title | Review opinions search engine |
| title_full | Review opinions search engine |
| title_fullStr | Review opinions search engine |
| title_full_unstemmed | Review opinions search engine |
| title_short | Review opinions search engine |
| title_sort | review opinions search engine |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
| url | http://hdl.handle.net/10356/17022 |
| work_keys_str_mv | AT dongwei reviewopinionssearchengine |