Corpus ID: 14838925

Learning to Generate Reviews and Discovering Sentiment

@article{Radford2017LearningTG,
  title={Learning to Generate Reviews and Discovering Sentiment},
  author={Alec Radford and Rafal J{\'o}zefowicz and Ilya Sutskever},
  journal={ArXiv},
  year={2017},
  volume={abs/1704.01444}
}
  • Alec Radford, Rafal Józefowicz, Ilya Sutskever
  • Published 2017
  • Computer Science
  • ArXiv
  • We explore the properties of byte-level recurrent language models. [...] Key Result Simply fixing its value to be positive or negative generates samples with the corresponding positive or negative sentiment.Expand Abstract

    Figures, Tables, and Topics from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 257 CITATIONS

    Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Combining Convolution and Recursive Neural Networks for Sentiment Analysis

    VIEW 4 EXCERPTS
    CITES BACKGROUND & METHODS
    HIGHLY INFLUENCED

    Contextual String Embeddings for Sequence Labeling

    VIEW 1 EXCERPT
    CITES BACKGROUND

    FILTER CITATIONS BY YEAR

    2017
    2020

    CITATION STATISTICS

    • 25 Highly Influenced Citations

    • Averaged 75 Citations per year from 2018 through 2020

    References

    Publications referenced by this paper.