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Text-Mining-on-Polarity-v2.0-Movie-Reviews

  • Performed analysis on the textual movie review dataset to correctly classify positive and negative reviews of the users.
  • Transformed the unstructured textual data into structured data by making use of TF-IDF, bag of words and n-grams techniques in python using Scipy library.
  • Applied various machine learning algorithms for predictive analysis such as K-nearest neighbors, LinearSVC, Naive Bayes Classifier in python to classify positive and negative reviews. Achieved the best accuracy of 83.4%.

Tools Used:

  • Python
  • Scikit text processing features