Stemming
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What is Stemming?
Stemming is a text normalization technique in natural language processing that reduces words to their root or base form, known as the stem. This is achieved by removing suffixes (like "-ing", "-ed", "-s") from words. The goal is to treat words with similar meanings as the same, even if they have slightly different forms, which helps to simplify text analysis and improve the efficiency of certain NLP tasks.
Free resources to learn Stemming
More in stage 38: Natural Language Processing
Stemming: common questions
Can I learn Stemming in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Stemming in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Stemming tutorial for beginners?
It is lesson 150 of 150 in the free Machine Learning roadmap, in stage 38, Natural Language Processing. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.