Large-Scale Arabic Text Classification
An Approach Towards Distributed Data Mining
- Editore:
LAP Lambert Academic Publishing
- EAN:
9783659347665
- ISBN:
3659347663
- Pagine:
- 128
- Formato:
- Paperback
- Lingua:
- Tedesco
Descrizione Large-Scale Arabic Text Classification
Text classification has become one of the most important techniques in text mining. A number of machine learning algorithms have been introduced to deal with automatic text classification. One of the common classification algorithms is the k-NN algorithm which is known to be one of the best classifiers applied for different languages including Arabic language. However, the k-NN algorithm is of low efficiency because it requires a large amount of computational power. Such a drawback makes it unsuitable to handle a large volume of text documents with high dimensionality and in particular in the Arabic language. This book, therefore, introduces a high performance parallel classifier for large-scale Arabic text that achieves the enhanced level of efficiency, scalability, and accuracy. The parallel classifier based on the sequential k-NN algorithm. We tested the classifier using the OSAC corpus. We studied the performance of the parallel classifier on a multicomputer cluster. The results indicate that the parallel classifier has very good speedups and scalability and is capable of handling large document collections with higher classification results.
