Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
A vector space model for automatic indexing
Communications of the ACM
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Information retrieval on Turkish texts
Journal of the American Society for Information Science and Technology
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
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Text documents are usually unstructured and written in natural language. To apply conventional data mining techniques on text documents, a preprocessing operation is indispensable. In this paper, we introduce PRETO, a cross-platform, powerful and scalable preprocessing tool developed specifically for preprocessing Turkish texts, with a wide range of preprocessing options like stemming, stopword filtering, statistical term filtering, and n-gram generation. We demonstrate the performance and scalability of PRETO with some experiments on large document collections.