Arabic Language Text Classification Using Dependency Syntax-Based Feature Selection

17 Oct 2014Yannis HaralambousYassir ElidrissiPhilippe Lenca

We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rules vs. support vector machines, for classification. The Arabic text is used in two forms: rootified and lightly stemmed... (read more)

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