NLP to LLM from Basic Principles: NLPlanet NLP and ML pt.2

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Preface:

I am undertaking a Natural Language Processing and Machine Learning course that uses NLTK and HuggingFace. I have taken notes on their lessons and would like to share them. Although I tried to be in-depth and transformative with my notebook, I strongly encourage following their course as it is detailed and well-formatted.

Credit:

Course Link:

Welcome to the Course — Practical NLP with Python (nlplanet.org)

Author:

Fabio Chiusano — Medium

Note Information:

This is a Jupyter Notebook uploaded to my Github as provided in the link further down.

Notes include definitions, examples, and explanations.

Uses NLTK in this section. For more in-depth information, consider this NLTK course: NLP to LLM from Basic Principles: NLTK | by Brandon Gomes | Medium.

Title:

Section 1.5

Stemming, Lemmatization, Stopwords, POS Tagging

Section Link:

1.5 Stemming, Lemmatization, Stopwords, POS Tagging — Practical NLP with Python (nlplanet.org)

Information Covered (All Defined in Notes):

• Inflected Language
• Stemming
• Lemmatization
• Stop-words
• POS Tagging

Note Link:

NLPlanet Lesson 1.5 Notes: Stemming, Lemmatization, Stopwords, and POS Tagging