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Text Preprocessing MCQ
📖 NLP Text Preprocessing quiz
20 questions on tokenization, stemming, lemmatization, stop words & normalization. No answers pre‑marked – select, check, and learn.
6 easy
8 medium
6 hard
🔠Text preprocessing concepts covered
This quiz covers the first step of most NLP pipelines: text preprocessing. You'll be tested on tokenization (splitting text into words, subwords, or sentences), stemming (reducing words to root form by rules), lemmatization (reducing to dictionary base form), stop word removal, case normalization, and how libraries like NLTK and spaCy handle these tasks.
Tokenization (word, sentence, subword)
Stemming (Porter, Snowball)
Lemmatization
Stop words
Case & number normalization
NLTK & spaCy preprocessing