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Two New Feature Extraction Methods for Text Classification: TESDF and SADF

Date

2015

Author

Kilic, Erdal
Ates, Nurullah
Karakaya, Aykut
Sahin, Durmus Ozkan

Metadata

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Abstract

In this study, two new document weighting methods are proposed based on term frequency-inverse document frequency (TF-IDF) generally used in text mining methods. Also, insignificance of the verb in text classification which will be a new method in pre-processing have been put forward and tested. The better results were observed through using these methods when these methods compare with other method, It was observed that the performance rate hardly change and the data size which was processed decreased by omitting verbs of texts.

Source

2015 23Rd Signal Processing and Communications Applications Conference (Siu)

URI

https://hdl.handle.net/20.500.12712/14568

Collections

  • Scopus İndeksli Yayınlar Koleksiyonu [14046]
  • WoS İndeksli Yayınlar Koleksiyonu [12971]



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