Language is the core of human communication, so it’s no surprise that a lot of data comes in the form of text. Customer emails, feedback forms, documents and reports; all of these data sources contain useful textual information. Text mining techniques allow you to turn text data into useful insights quickly, for example by detecting customer sentiment or identifying important topics and keywords.
In this course, you will learn about the challenges of working with text data. You will learn how to preprocess text using pandas, and how to perform statistical text analysis techniques such as tf-idf. At the end of the course, you will be able to apply familiar supervised learning algorithms to the preprocessed data to perform tasks such as sentiment analysis and topic recognition.