Identifying Text Polarity Using Random Walks

  title={Identifying Text Polarity Using Random Walks},
  author={Ahmed Hassan Awadallah and Dragomir R. Radev},
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of product review, analysis of responses to surveys, and mining online discussions. We propose a method for identifying the polarity of words. We apply a Markov random walk model to a large word relatedness graph, producing a polarity estimate for any given word. A key advantage of the model is its ability to accurately and… CONTINUE READING
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