PRETO: a high-performance text mining tool for preprocessing Turkish texts

Volkan Tunali; Turgay Tugay Bilgin

doi:10.1145/2383276.2383297

PRETO: a high-performance text mining tool for preprocessing Turkish texts

Volkan Tunali^*, Turgay Tugay Bilgin

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	CompSysTech 12
Subtitle of host publication	Proceedings of the 13th International Conference on Computer Systems and Technologies
Editors	Boris Rachev, Angel Smrikarov
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	134-140
Number of pages	7
ISBN (Electronic)	9781450311939
DOIs	https://doi.org/10.1145/2383276.2383297
Publication status	Published - 22 Jun 2012
Externally published	Yes
Event	13th International Conference on Computer Systems and Technologies - Ruse, Bulgaria Duration: 22 Jun 2012 → 23 Jun 2012 Conference number: 13

Conference

Conference	13th International Conference on Computer Systems and Technologies
Abbreviated title	CompSysTech 2012
Country/Territory	Bulgaria
City	Ruse
Period	22/06/12 → 23/06/12

Access to Document

10.1145/2383276.2383297Licence: Other

Cite this

@inproceedings{71c8eb5cfa714dd6bfa62e083bc4901e,

title = "PRETO: a high-performance text mining tool for preprocessing Turkish texts",

abstract = "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.",

author = "Volkan Tunali and Bilgin, {Turgay Tugay}",

year = "2012",

month = jun,

day = "22",

doi = "10.1145/2383276.2383297",

language = "English",

pages = "134--140",

editor = "Boris Rachev and Angel Smrikarov",

booktitle = "CompSysTech 12",

publisher = "Association for Computing Machinery",

address = "United States",

note = "13th International Conference on Computer Systems and Technologies, CompSysTech 2012 ; Conference date: 22-06-2012 Through 23-06-2012",

}

Tunali, V & Bilgin, TT 2012, PRETO: a high-performance text mining tool for preprocessing Turkish texts. in B Rachev & A Smrikarov (eds), CompSysTech 12: Proceedings of the 13th International Conference on Computer Systems and Technologies. Association for Computing Machinery, New York, pp. 134-140, 13th International Conference on Computer Systems and Technologies, Ruse, Bulgaria, 22/06/12. https://doi.org/10.1145/2383276.2383297

PRETO: a high-performance text mining tool for preprocessing Turkish texts. / Tunali, Volkan; Bilgin, Turgay Tugay.
CompSysTech 12: Proceedings of the 13th International Conference on Computer Systems and Technologies. ed. / Boris Rachev; Angel Smrikarov. New York: Association for Computing Machinery, 2012. p. 134-140.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PRETO

T2 - 13th International Conference on Computer Systems and Technologies

AU - Tunali, Volkan

AU - Bilgin, Turgay Tugay

N1 - Conference code: 13

PY - 2012/6/22

Y1 - 2012/6/22

N2 - 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.

AB - 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.

U2 - 10.1145/2383276.2383297

DO - 10.1145/2383276.2383297

M3 - Conference contribution

SP - 134

EP - 140

BT - CompSysTech 12

A2 - Rachev, Boris

A2 - Smrikarov, Angel

PB - Association for Computing Machinery

CY - New York

Y2 - 22 June 2012 through 23 June 2012

ER -

PRETO: a high-performance text mining tool for preprocessing Turkish texts

Abstract

Conference

Access to Document

Fingerprint

Cite this