The Impact of Preprocessing on Classification Performance in Convolutional Neural Networks for Turkish Text

Abstract

The increase of text based content produced in electronic environment necessitated to classify these contents with advanced algorithms. For text classification, the text contents are reduced to a more structured form by being preprocessed. Many studies have examined how these preprocesses affect the performance of classification algorithms. The main question of this study is how the Convolutional Neural Network (CNN), which is noteworthy with its classification success, is influenced by text preprocessing in the text classification. In this study, the effect of text preprocessing is examined CNN classification performance on two different data sets with Turkish content. As a result of the study, it has been determined that the text preprocessing has a weak positive effect on CNN classification performance.