Q1medium
A developer runs a tokenizer on the string "Data Science is fun!". What is the output of a Word-level Tokenizer?
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10 Questions Total
Natural Language Processing (NLP) MCQs
Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.
Zero-leak answer engine • Rate-limited explanations
Practice in Timed ModeQ2easy
What is TF-IDF used for?
Q3easy
What is the primary difference between Stemming and Lemmatization?
Q4easy
What is the main limitation of the Bag-of-Words (BoW) approach?
Q5easy
What is Word2Vec?
Q6easy
What is the difference between a Bigram and a Trigram?
Q7easy
What does Named Entity Recognition (NER) identify?
Q8medium
In the context of embeddings, what does the Cosine Similarity between two vectors represent?
Q9easy
Why are Stop-words (e.g., 'the', 'is', 'at') often removed during NLP preprocessing?
Q10medium
You have a large dataset of customer reviews and want to determine if they are happy or angry. Which technique should you apply?