Review/opinion search engine (ROSE)
Before purchasing a product, wouldn't it be nice if you can instantly get product rankings, user reviews and opinions, all from just one website, without wasting time looking through the reviews from many websites. ROSE does this for you! ROSE requires minimal human effort; a sentiment class...
Main Author: | |
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Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2009
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Online Access: | http://hdl.handle.net/10356/16858 |
_version_ | 1811692436070596608 |
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author | Zhang, Qichuan |
author2 | Chang Kuiyu |
author_facet | Chang Kuiyu Zhang, Qichuan |
author_sort | Zhang, Qichuan |
collection | NTU |
description | Before purchasing a product, wouldn't it be nice if you can instantly get product rankings, user reviews and opinions, all from just one website, without wasting time looking through the reviews from many websites. ROSE does this for you!
ROSE requires minimal human effort; a sentiment classifier automatically process and analyze the huge amount of review data extracted from various online review websites. The ROSE front-end presents the analyzed result in a well-organized manner. ROSE is currently focused on Chinese reviews, and will join the Chinese Internet community
soon.
This report focuses on two main aspects.
1.ROSE Control Panel development, how Rich Internet Application paradigm can be applied to implement the control panel such that, user experience can be similar to desktop application, as well as increase in information transmission efficiency.
2.Semantic sentiment classification, the machine learning magic behind ROSE, which is
responsible for classifying reviews into POSTIVE, NEGATIVE or NEUTRAL categories. |
first_indexed | 2024-10-01T06:35:45Z |
format | Final Year Project (FYP) |
id | ntu-10356/16858 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:35:45Z |
publishDate | 2009 |
record_format | dspace |
spelling | ntu-10356/168582023-03-03T20:37:08Z Review/opinion search engine (ROSE) Zhang, Qichuan Chang Kuiyu School of Computer Engineering 4G Research Lab DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Before purchasing a product, wouldn't it be nice if you can instantly get product rankings, user reviews and opinions, all from just one website, without wasting time looking through the reviews from many websites. ROSE does this for you! ROSE requires minimal human effort; a sentiment classifier automatically process and analyze the huge amount of review data extracted from various online review websites. The ROSE front-end presents the analyzed result in a well-organized manner. ROSE is currently focused on Chinese reviews, and will join the Chinese Internet community soon. This report focuses on two main aspects. 1.ROSE Control Panel development, how Rich Internet Application paradigm can be applied to implement the control panel such that, user experience can be similar to desktop application, as well as increase in information transmission efficiency. 2.Semantic sentiment classification, the machine learning magic behind ROSE, which is responsible for classifying reviews into POSTIVE, NEGATIVE or NEUTRAL categories. Bachelor of Engineering (Computer Engineering) 2009-05-28T07:38:51Z 2009-05-28T07:38:51Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16858 en Nanyang Technological University 70 p. application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Zhang, Qichuan Review/opinion search engine (ROSE) |
title | Review/opinion search engine (ROSE) |
title_full | Review/opinion search engine (ROSE) |
title_fullStr | Review/opinion search engine (ROSE) |
title_full_unstemmed | Review/opinion search engine (ROSE) |
title_short | Review/opinion search engine (ROSE) |
title_sort | review opinion search engine rose |
topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
url | http://hdl.handle.net/10356/16858 |
work_keys_str_mv | AT zhangqichuan reviewopinionsearchenginerose |