Course Summary
Review the essential concepts and methods for efficiently performing text preprocessing.
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.
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