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Classifying and Visualizing trends from Food-related Twitter tweets using Machine Learning and Spark

Data pre-processing, classification, and visualizations are included

Some technologies used:

  • Python/R
  • Apache Spark

Machine Learning Techniques:

  • Natural Lanaguage Processing (NLTK)
  • Sentiment Analysis
  • 10-fold Cross Validation
  • Support Vector Machines (SVM)
  • Naive Bayes
  • Linear Discriminant Analysis (LDA) for Data Mining

Collaborators:

  • Andy Wu
  • Aaron Leung
  • Tanner Litwin

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Classifying and Visualizing trends from Food-related Twitter tweets using Machine Learning and Spark

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