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Classifies hotel reviews as True/Fake and Positive/Negative

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Hotel_Reviews_Classifier

Classifies hotel reviews as True/Fake and Positive/Negative The word tokens in the reviews are used as features for the classification.

Classifiers:

  1. Naive Bayes Classifier
  2. Perceptron Classifier
  • nblearn - learns a naive bayes model from the data
  • nbclassify - classifies the reviews and assigns labels as true/fake and positive/negative

Smoothing was performed to deal with unknown vocabulary in the test data

  • perceplearn - learns vanilla and averaged models from the data
  • percepclassify - uses the vanilla and averaged models to classify the data

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Classifies hotel reviews as True/Fake and Positive/Negative

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