Classification of Emotions in Indonesian Texts Using K-NN Method

@inproceedings{Arifin2012ClassificationOE,
  title={Classification of Emotions in Indonesian Texts Using K-NN Method},
  author={Arifin and Ketut Eddy Purnama},
  year={2012}
}
This paper aims to classify texts in Indonesian language into emotion expression classes. The data were taken from 6 basic emotion classes whose training documents and test documents were obtained from articles in www.kompas.com, www.suaramerdeka.com, and www.detik.com. The text weighing was processed by using TFID method which is an integration of Term Frequency (TF) and Inverse Document Frequency (IDF). In the classification process, K-Nearest Neighbor (K-NN) was used to see how far this… CONTINUE READING

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