Stemming text-based web page classification using machine learning algorithms: a comparison
The research aim is to determine the effect of word-stemming in web pages classification using different machine learning classifiers, namely Naive Bayes (NB), k-Nearest Neighbour (k-NN), Support Vector Machine (SVM) and Multilayer Perceptron (MP). Each classifiers' performance is evaluated in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization,
2020.
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| Subjects: | |
| Online Access: | Get fulltext |