Lyapunov filtering of objectivity for Spanish Sentiment Model

@article{Chaturvedi2016LyapunovFO,
  title={Lyapunov filtering of objectivity for Spanish Sentiment Model},
  author={Iti Chaturvedi and Erik Cambria and David Vilares},
  journal={2016 International Joint Conference on Neural Networks (IJCNN)},
  year={2016},
  pages={4474-4481}
}
Objective sentences lack sentiments and, hence, can reduce the accuracy of a sentiment classifier. Traditional methods prior to 2001 used hand-crafted templates to identify subjectivity and did not generalize well for resource-deficient languages such as Spanish. Later works published between 2002 and 2009 proposed the use of deep neural networks to automatically learn a dictionary of features (in the form of convolution kernels) that is portable to new languages. Recently, recurrent neural… CONTINUE READING

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A Neural Word Embeddings Approach for Multi-Domain Sentiment Analysis

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