Classification Performance of the Different Stemming Methods

Authors

  • Mehmet BALCI
  • Rıdvan SARAÇOĞLU
  • Şakir TAŞDEMIR
  • Adem GÖLCÜK

DOI:

https://doi.org/10.18100/ijamec.27805

Keywords:

Text Processing, Classification, kNN, Stemming.

Abstract

Normal 0 21 false false false MicrosoftInternetExplorer4 Saving textual data and accessing them in many fields have become one of the basic problems nowadays. The usage of these data effectively is directly related to the development of storage and access tools that will be used. Therefore, software programs using different methods have been developed. One of the points that need to be taken into account is data classifying. Because using raw data in these classifying processes is harmful, finding the stem of the texts is useful. In this study, the successes of two different stemming algorithms in the text classifying are comparatively examined.

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References

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Published

29-06-2015

Issue

Section

Research Articles

How to Cite

[1]
“Classification Performance of the Different Stemming Methods”, J. Appl. Methods Electron. Comput., vol. 3, no. 3, pp. 208–210, Jun. 2015, doi: 10.18100/ijamec.27805.

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