Chapter 8: Leveraging NLP to Monetize Your Media Content

As we have seen in this book so far, AI, and specifically NLP, has a wide range of uses in areas hitherto considered traditional IT spurred on by the rapid proliferation of data and the democratization of machine learning (ML) with cloud computing. In the previous chapter, we saw a cool example of how you can bring color to social media reviews and other forms of textual data by running voice of the customer analytics with sentiment detection. We saw how you can use AWS Glue to crawl raw data from Amazon S3, use Amazon Athena to interactively query this data, transform the raw data using PySpark (http://spark.apache.org/docs/latest/api/python/index.html) in an AWS Glue job to call Amazon Comprehend APIs (which provide ready-made intelligence with pre-trained NLP models) to get sentiment analysis on the review, convert the data into Parquet, and partition it (https://docs.aws.amazon.com/athena/latest/ug/partitions.html) by sentiment...