Topic identification using filtering and rule generation algorithm for textual document
Information stored digitally in text documents are seldom arranged according to specific topics. The necessity to read whole documents is time-consuming and decreases the interest for searching information. Most existing topic identification methods depend on occurrence of terms in the text. Howev...
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2015
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| Online Access: | https://etd.uum.edu.my/5379/1/s812431.pdf https://etd.uum.edu.my/5379/2/s812431_abstract.pdf |
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