Interpolative self-training approach for sentiment analysis

@article{Aghababaei2016InterpolativeSA,
  title={Interpolative self-training approach for sentiment analysis},
  author={Somayyeh Aghababaei and Masoud Makrehchi},
  journal={2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)},
  year={2016},
  pages={1-6}
}
Sentiment analysis has become one of the fundamental research areas with an objective of estimating the polarity of text documents. While sentiment analysis requires rich training resources, the number of available labeled documents is limited. The proposed interpolative self-training model is an extension of self-training as one of the most common semi-supervised learning algorithms. The proposed method is based on enlarging learning documents by interpolating data in both the training and the… CONTINUE READING

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