A character-based convolutional neural network for language-agnostic Twitter sentiment analysis

@article{Wehrmann2017ACC,
  title={A character-based convolutional neural network for language-agnostic Twitter sentiment analysis},
  author={Jonatas Wehrmann and Willian Becker and Henry E. L. Cagnini and Rodrigo C. Barros},
  journal={2017 International Joint Conference on Neural Networks (IJCNN)},
  year={2017},
  pages={2384-2391}
}
Most work on tweet sentiment analysis is mono-lingual and the models that are generated by machine learning strategies do not generalize across multiple languages. Cross-language sentiment analysis is usually performed through machine translation approaches that translate a given source language into the target language of choice. Machine translation is expensive and the results that are provided by theses strategies are limited by the quality of the translation that is performed. In this paper… CONTINUE READING
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