openforce/spark-mllib-scala-play

With this tutorial template we show how to automatically classify the sentiment of Twitter messages leveraging the Typesafe Stack and Apache Spark. These messages are classified as either positive or negative with respect to a query term. Users who want to research the sentiment of products before purchase, or companies that want to monitor the public sentiment of their brands can make use of this kind of application. The Activator template consists of backend components using Scala, Spark, Akka and the Play Framework in their most recent versions and Polymer for the UI. Main focus of this template is the orchestration of these technologies by an example of using machine learning for classifying the sentiment of Twitter messages using MLlib.