Tunali, V.Bilgin, T.T.2024-07-122024-07-1220129.78145E+1210.1145/2383276.23832972-s2.0-84869002711https://doi.org/10.1145/2383276.2383297https://hdl.handle.net/20.500.12415/741113th International Conference on Computer Systems and Technologies, CompSysTech 2012 -- 22 June 2012 through 23 June 2012 -- Ruse -- 93756Text 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. Copyright ©2012 ACM.eninfo:eu-repo/semantics/closedAccessData MiningNatural Language ProcessingText MiningText PreprocessingConference Object140N/A134