Build a Sentiment Analysis Application in CDP

From analyzing customer experiences to receiving product feedback, the ability to quickly and easily analyze sentiment can help steer department and business strategy. Sentiment analysis models use existing text inputs such as social media posts or customer success emails to calculate and predict sentiment (classifying it as positive or negative). In this demo, we will explore how your business can leverage Cloudera Data Platform (CDP) and the latest Applied Machine Learning Prototype for powering your sentiment analysis use cases.

  • About sentiment analysis for unlabeled data using linear models in R/sparklyr
  • How to train Deep Neural Networks to perform sentiment analysis on training data then apply that model to new data using Python
  • How you can use Cloudera’s Sentiment Analysis Applied Machine Learning Prototypes to power use cases across your business today

Plus get access to instructions for building and deploying the Applied ML Prototype on Sentiment Analysis.

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