If you want detailed information regarding these frameworks and libraries, then you can use the Gitter room to connect with me, because in-depth details of the frameworks are out of the scope of this book.
This framework overview will help you figure out how various frameworks can be used in NLP applications. Hadoop is used for storage. Spark MLlib is used to develop machine learning models and store the trained models on HDFS. We can run the trained model as and when needed by loading it. Flink makes our lives easier when real-time analysis and data processing come into the picture. Real-time sentiment analysis, document classification, user recommendation engine, and so on are some of the real-time applications that you can build using Flink. The matplotlib is used while developing machine learning models. The pygal and bokeh are used to make nice dashboards for our...