In my last blog I demonstrated how to build a model that can predict if a stock is going up or down based on the news headlines using Spark MLLib. In this demo I will do the same – but with the help of OpenNLP.

The solution consists of the following components

  • OpenNLP (Text Classification)
  • My News-Digest fuctionality (which I have described in my last blogs)
  • Investor (Determination of the stock prices to calculate the labels )
  • confusion-matrix (to evaluate the Classification result)

The details can be found in the following Gist


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