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https://hdl.handle.net/10356/1909Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chan, Saw Nyein Aung. | en_US |
| dc.date.accessioned | 2008-09-10T08:37:18Z | - |
| dc.date.available | 2008-09-10T08:37:18Z | - |
| dc.date.copyright | 2004 | en_US |
| dc.date.issued | 2004 | - |
| dc.identifier.uri | http://hdl.handle.net/10356/1909 | - |
| dc.description.abstract | This research explores the effectiveness of SVM in sentiment classification as well as the usage of "negation" in sentiment classification. | en_US |
| dc.rights | Nanyang Technological University | en_US |
| dc.subject | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing | - |
| dc.title | Feature vector generation tool for sentiment classification of product reviews using SVM. | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.supervisor | Jin, Cheon Na | en_US |
| dc.contributor.school | Wee Kim Wee School of Communication and Information | en_US |
| dc.description.degree | Master of Science (Information Studies) | en_US |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | WKWSCI Theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| WKWSCI_THESES_536.pdf Restricted Access | 804.37 kB | Adobe PDF | View/Open |
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