Automatic summarizer for web documents
As the world globalize, internet is being used around the world. This resulted in the web documents in texts, growing exponentially. It is not suitable to read through all the text information online and just to find and sieve out what you need. Using unsupervised clustering algorithms,...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10356/61087 |
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| Institution: | Nanyang Technological University |
| Language: | English |