Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News

@inproceedings{Kaya2013TransferLU,
  title={Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News},
  author={Mesut Kaya and Guven Fidan and Ismail Hakki Toroslu},
  booktitle={ISCIS},
  year={2013}
}
In this paper, we aim to determine the overall sentiment classification of Turkish political columns. That is, our goal is to determine whether the whole document has positive or negative opinion regardless of its subject. In order to enhance the performance of the classification, transfer learning is applied from unlabeled Twitter data to labeled political columns. A variation of self-taught learning has been proposed, and implemented for the classification. Different machine learning… CONTINUE READING

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