Identifying Humor in Reviews using Background Text Sources

  title={Identifying Humor in Reviews using Background Text Sources},
  author={Alex Morales and ChengXiang Zhai},
We study the problem of automatically identifying humorous text from a new kind of text data, i.e., online reviews. We propose a generative language model, based on the theory of incongruity, to model humorous text, which allows us to leverage background text sources, such as Wikipedia entry descriptions, and enables construction of multiple features for identifying humorous reviews. Evaluation of these features using supervised learning for classifying reviews into humorous and non-humorous… CONTINUE READING

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