PYTHON
Free Section Starter Challenge
25 min
10. NLP: Tokenization & Stopword Filtering
Overview: Clean raw text corpora by segmenting words and eliminating low-information stop terms.
Concept & Syntax Guide
Natural Language Processing algorithms cannot ingest unstructured text directly. The initial preprocessing pipeline tokenizes strings into discrete word tokens, converts all characters to lowercase, strips punctuation, and removes common stopwords (e.g., the, is, at, which).
Hands-On Practice Exercise
Filter Text Tokens and Remove Stopwords
Tokenize sentence "Welcome to the Stro Hafta Masterclass Education Hub" and filter stopwords ["to", "the", "welcome"].
Target Output:
Filtered Tokens: ['stro', 'hafta', 'masterclass', 'education', 'hub']
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Hint: Check syntax carefully and make sure your code contains:
Filtered Tokens: ['stro', 'hafta', 'masterclass', 'education', 'hub']
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