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Using SparkML to build different machine learning models for simulating a small scale of big data management

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SparkML-Streaming-Tweets

Using SparkML to build different machine learning models for simulating a small scale of big data management

Steps Performed:

  • Using Twitter API to gather tweets
  • Filtering tweets and preprocessing steps
  • Using spark to create a dataframe for the dataset
  • With the help of SparkML, successully build different models in order to define a binary classification (for positive and negative meaning tweets)
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    Using SparkML to build different machine learning models for simulating a small scale of big data management

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