NLP Basics Quiz

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Test NLP essentials from class notes.

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Pratyusha :D

India

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NLP Basics Quiz


NLP Basics QuizVersion en ligne Test NLP essentials from class notes. par Pratyusha :D 1 What is tokenization in NLP? a Removing stop words b Tagging parts of speech c Converting text to numbers d Splitting text into smaller units like words or sentences 2 What does POS tagging assign to each word? a A part of speech (e.g., noun, verb) b Word frequency c Syntactic parsing d Sentence length 3 Which method reduces words to their base form? a Stemming b Tokenization c Lemmatization d Stop-word removal 4 What is stemming best described as? a Counting characters b Analyzing syntax c Trimming word endings to reach a base form d Replacing synonyms 5 What are stop words? a Punctuation marks b Sentence boundaries c Rare technical terms d Common function words to skip during processing 6 What does Named Entity Recognition identify? a Sentence length b Parts of speech c Names of people, places, organizations d Sentiment polarity 7 Which task is central to sentiment analysis? a Shuffling words b Translating text c Counting vowels d Determining attitude or opinion in text 8 What is a corpus in NLP? a A large, structured text collection for analysis b A data preprocessor c A programming language d A type of neural network 9 Which technique uses context to represent words as vectors? a Word embeddings b Character sorting c One-hot encoding d Rule-based parsing 10 What is transfer learning in NLP useful for? a Ignoring context b Applying knowledge from one task to another c Blocking data access d Manual feature crafting

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NLP Basics Quiz

Test

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

Top Jeux

Test

Spanish Alphabet Listening

Test

UPS 5 Seeing Habits Quiz

Test

Tissues - Practice Quiz

Test

Photosynthesis vs Cellular Respiration - Practice Quiz

Test

Practice Quiz - Punnett Square, Variation, and Mutations

NLP Basics QuizVersion en ligne

par Pratyusha :D

What is tokenization in NLP?

What does POS tagging assign to each word?

Which method reduces words to their base form?

What is stemming best described as?

What are stop words?

What does Named Entity Recognition identify?

Which task is central to sentiment analysis?

What is a corpus in NLP?

Which technique uses context to represent words as vectors?

What is transfer learning in NLP useful for?