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Course Description

In this course, you will explore the foundational vocabulary of natural language processing (NLP) — and start writing code right away — by finding patterns in strings using both simple functions and regular expressions. This will prepare you for an important component of NLP work, which is preprocessing text to reduce the size of the vocabulary being analyzed: The fewer total words that need to be analyzed, the more computationally efficient your work will be. You will then tag sentences so that you will be able to relate keywords to one another. You will also gain extensive hands-on experience writing Python, first by practicing on individual sentences then working up to a larger body of text. Overall, your understanding of and skill in NLP with Python will support you as you continue through your career and meet your goals in this area and beyond.

Faculty Author

Dr. Oleg Melnikov

Benefits to the Learner

  • Divide a document into words and use regular expressions to find simple patterns
  • Preprocess text in order to reduce a document's vocabulary and make your analysis more computationally efficient
  • Tag and parse sentences in a document to relate words and phrases to one another

Target Audience

  • Engineers
  • Software developers
  • Computer scientists new to NLP
  • Data scientists
  • Analysts
  • Researchers
  • Linguists
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Cornell Bowers College of Computing and Information Science
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