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This project is split into 5 components:

  1. Calculation of sentiment scores with Naive Bayes model
  2. K-means to show similarity in reviews but difference in ratings
  3. Calculation of sentiment scores with VaderSentiment library
  4. Extracting data for plotting trend data
  5. Plotting trends with D3

The directory structure is as follows:
-AmazonReviewAnalytics
----NaiveBayes
----VaderSentiment
----trends
----visualization
----k-means

To execute the code for each of these components, refer to the README in the respective folders.

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Fine grained sentiment scores for user reviews using Apache Spark

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