The company you work for has accumulated a lot of valuable data from its customers, all stored as text, and you need to extract some value from that data. You’ve spent a lot of combined time writing about what they want but no-one knows what they have written about and no-one has the time to read all the messages.

This course empowers you to know how to attack this and other text analysis problems to unlock value for your organization. You’ll start by seeing how NLP can help you extract useful information from large collections of text data, and how you can use the latest Python libraries for NLP. Then we’ll show you how to solve a practical problem using NLP by building a spam SMS detector. You’ll also learn to convert words into numbers that can be analyzed.

Moving on, we’ll teach you how to accurately label new documents to get an accuracy score and cluster your data together. Finally, you’ll see more advanced analysis and will model text by using vector space models and semantic parsing to break down the components of a sentence. You’ll also work with neural networks and learn how to write believable text.

By the end of the course, you’ll be able to use the latest libraries of NLP in Python in your day-to-day tasks. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Next-Generation-Natural-Language-Processing-with-Python