Implementing sentiment analysis using stanford NLP over Spark
Sentiment analysis or opinion mining involves building a system to collect and categorize opinions about a product. This can be used in several ways that help marketers evaluate the success of an ad-campaign or new product launch, determine which versions of product or service are popular and also identify demographics that like or dislike product features. In this recipe we will see how the Stanford NLP API performs sentiment analysis.
Getting ready
To step through this recipe, you will need a running Spark cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, or Mesos. For installing Spark on a standalone cluster, please refer to
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