Too Long; Didn't Read
This is a series of articles for exploring “Mueller Report” by using Spark NLP library built on top of Apache Spark and pre-trained models powered by TensorFlow and BERT. This is where Natural Language Processing (NLP) and Text mining techniques can help us to understand the natural language data in a new and different way. These articles are purely educational for those interested in learning how to do NLP by using Apache Spark. The original report was released by the US. Department of Justice (the original file) and for those of us who are not familiar with his investigation: