Combining Sentiment Lexica with a Multi-View Variational Autoencoder

@article{Hoyle2019CombiningSL,
  title={Combining Sentiment Lexica with a Multi-View Variational Autoencoder},
  author={Alexander Miserlis Hoyle and Lawrence Wolf-Sonkin and Hanna M. Wallach and Ryan Cotterell and Isabelle Augenstein},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.02839}
}
When assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, annotators may use binary, categorical, or continuous labels. Naturally, it is of interest to unify these labels from disparate scales to both achieve maximal coverage over words and to create a single, more robust sentiment lexicon while retaining scale coherence. We introduce a generative model of sentiment lexica to… 
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