The effect of transfer learning on Turkish text classification
Text classification is one of the most important issues in natural language processing. In this
study, texts belonging to different problems were classified using classical machine learning
and deep learning methods. Additionally, transformer-based classifiers using transfer
learning were also used, and the effects of transfer learning on classification success were
examined. As a result of the experiments, it was seen that higher performance was obtained
from the transfer learning based Bert classifier compared to other methods. With the study …
study, texts belonging to different problems were classified using classical machine learning
and deep learning methods. Additionally, transformer-based classifiers using transfer
learning were also used, and the effects of transfer learning on classification success were
examined. As a result of the experiments, it was seen that higher performance was obtained
from the transfer learning based Bert classifier compared to other methods. With the study …
The effect of transfer learning on Turkish text classification Transfer öǧrenmenin Türkçe metin siniflandirma üzerindeki etkisi
… In this study, texts belonging to different problems were classified using classical
machine learning and deep learning methods. Additionally, transformer-based classifiers
using … As a result of the experiments, it was seen that higher performance was obtained
from the transfer learning based Bert classifier compared to other methods. With the study,
transfer learning effect in Turkish text classification was examined in detail. …
machine learning and deep learning methods. Additionally, transformer-based classifiers
using … As a result of the experiments, it was seen that higher performance was obtained
from the transfer learning based Bert classifier compared to other methods. With the study,
transfer learning effect in Turkish text classification was examined in detail. …
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