Summary

In this chapter, we learned how NLP is different from text analytics. We also covered the various pre-processing steps that are included in NLP. We looked at the different phases an NLP project has to pass through. In the next chapter, you will learn about the different methods required for extracting features from unstructured texts, such as TF-IDF and bag of words. You will also learn about NLP tasks such as tokenization, lemmatization, and stemming in more detail. Furthermore, text visualization techniques such as word clouds will be introduced.