Discovering roots with the Porter stemming algorithm
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Learn how to implement the Porter Stemming Algorithm for text processing. Discover how this widely-used algorithm reduces words to their root form for effective natural language processing.
At a Glance
Explore the Natural Language Processing (NLP) technique, stemming, with the Porter stemming algorithm. Learn about the different types of stemming and how its used in search engines and spell checking by using Buddha’s text file for practical application. Stemming is used to reduce words to their root or base form, known as the “stem.” This NLP technique involves removing suffixes and prefixes from words to normalize them, allowing different variations of the same word to be treated as equivalent.
This hands-on project is based on the Stemming text using the Porter stemming algorithm in Python tutorial created by Jacob Murel.
A Look at the Project Ahead
- Understand text analysis in NLP.
- Recognize stemming and its various types.
- Learn the principles and rules behind the Porter stemming algorithm.
- Implement the Porter stemming algorithm in Python.
What You’ll Need
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