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Description

In the realm of big data, text data analysis is increasingly crucial. In this course, learn essential text mining techniques in Python from an expert instructor. Explore concepts like tokenization, stemming, and converting text into analytics-ready form using examples and Python with NLTK library.

What will you learn?

  1. Interpret the relationship of documents inside a corpus.
  2. Distinguish between the different text processing capabilities that the NLTK provides.
  3. Explain why text cleansing and extraction occur when processing text with Python.
  4. Apply advanced text processing steps to find and create TF-IDF and the TF-IDF array.
  5. Explain best practices when processing text with Python.
  • Early to Mid