Dergiler / International Journal of Applied Mathematics Electronics and Computers / 2026 / Volume: 3 Issue: 3

Original Research Paper

Classification Performance of the Different Stemming Methods

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Yayın Tarihi
2015-06-29
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In this study, the successes of two different stemming algorithms in the text classifying are comparatively examined.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Normal 0 21 false false false MicrosoftInternetExplorer4 Saving textual data and accessing them in many fields have become one of the basic problems nowadays.
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Temel Bulgular & Veri:The usage of these data effectively is directly related to the development of storage and access tools that will be used.
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Sonuç & Katkı:In this study, the successes of two different stemming algorithms in the text classifying are comparatively examined.
🔬Tür:Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Text Processing · Classification · kNN

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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Bu Makaleye Atıf Yap

Balcı, M., Saraçoğlu, R., Taşdemir, Ş., Gölcük, A. (2015). Original Research Paper. International Journal of Applied Mathematics Electronics and Computers, Volume: 3 Issue: 3. https://doi.org/10.18100/ijamec.27805

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Kaynakça (15)

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