A review of feature selection on text classification
Textual data is a high-dimensional data. In high-dimensional data, the number of features xceeds the number of samples. Hence, it equally increased the amount of noise, and irrelevant features. At this point, dimensionality reduction is necessary. Feature selection is an example of dimensionality re...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23030/ http://umpir.ump.edu.my/id/eprint/23030/ http://umpir.ump.edu.my/id/eprint/23030/7/A%20Review%20of%20Feature%20Selection%20on%20Text2.pdf |