机器学习算法在阿拉伯语文本分类:综述

Sara A. Aboalnaser
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引用次数: 1

摘要

随着电子资源数量的迅速增加,对这些资源进行自动分类的需求变得非常重要。在文献中,提出了广泛的文本分类方案,将文本文档分类为预定义的类别。尽管如此,这个问题的大多数研究都是针对英语文本进行的,而针对阿拉伯语的研究却很少。本文综述了文献分类的研究进展,特别是阿拉伯语文献的分类。同时,介绍了在文档分类过程中使用的最重要的技术。此外,还将讨论目前关于阿拉伯文分类尚未解决的问题,从而突出今后在这方面的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Algorithms in Arabic Text Classification: A Review
As the number of electronic resources is rapidly increasing, the need for automatic classification of such resources became very crucial. In the literature, extensive text classification schemes were proposed to classify text documents into predefined categories. Even though, most studies in this problem were conducted for English texts while very little studies were conducted for the Arabic language. This paper provides a review for text classification process, particularly for Arabic documents. As well, it presents the most important techniques used in the process of documents classification. Furthermore, the current unresolved issues regarding Arabic text classification will be discussed and thus highlight the future recommendations in this context.
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