Course Summary

Key takeaways

Text preprocessing refers to tasks and techniques we perform on raw text data before further analysis. These techniques are critical for organizations looking to uncover insights. A few examples of text preprocessing techniques include lowercasing, removing special characters and stopwords, and performing tokenization, stemming, lemmatization, and part-of-speech tagging.

The text preprocessing stages

We can look at text preprocessing as a process with many techniques rather than a single action. This process progresses from one stage or step to another until it ends, and it varies from organization to organization and even project to project.