Corpus ID: 22826589

From Review to Rating: Exploring Dependency Measures for Text Classification

@article{CunninghamNelson2017FromRT,
  title={From Review to Rating: Exploring Dependency Measures for Text Classification},
  author={Samuel Cunningham-Nelson and Mahsa Baktash and Wageeh W. Boles},
  journal={ArXiv},
  year={2017},
  volume={abs/1709.00813}
}
  • Samuel Cunningham-Nelson, Mahsa Baktash, Wageeh W. Boles
  • Published in ArXiv 2017
  • Computer Science
  • Various text analysis techniques exist, which attempt to uncover unstructured information from text. In this work, we explore using statistical dependence measures for textual classification, representing text as word vectors. Student satisfaction scores on a 3-point scale and their free text comments written about university subjects are used as the dataset. We have compared two textual representations: a frequency word representation and term frequency relationship to word vectors, and found… CONTINUE READING
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