Experimental Evaluation for Text Classification using Improved Deep Learning Models

Language use on online platforms has dramatically expanded over the last ten years. Turkish text natural language processing (NLP) research, however, has not gotten much attention. This article seeks to give a thorough review of the Turkish text classification tools and models that are currently accessible. On Turkish text classification dataset, we assess proposed improved Convolutional Neural Network (CNN) model. A customization is made with the default optimizer made. An Artificial Neural Network (ANN) based models is given a comparative analysis. We demonstrate that on the available datasets, simple single layer models to outperform conventional models. Ideally, our research and experimentation with paper is concentrated in the Turkish NLP field.