In natural language processing, what does "tokenization" refer to?

A

Breaking down text into paragraphs
B

Splitting text into sentences
C

Breaking text into smaller units like words or phrases
D

Removing punctuation and stopwords
E

Translating text into another language

Explanation:

Tokenization involves splitting text into smaller units, such as words or phrases, which can then be analyzed and processed.

Finding Something Else?

Read the Complete Topic

This question belongs to the set "A Quiz on Artificial Intelligence and Machine Learning". Click below to read detailed notes and attempt the full quiz.

View Full Post →

Try These Similar MCQs

What is the main objective of supervised learning in machine learning?

Which algorithm is commonly used for classification tasks?

What does "overfitting" refer to in machine learning?

Which of the following is an example of unsupervised learning?

What is the purpose of a "learning rate" in gradient descent optimization?

Which metric is commonly used to evaluate the performance of a classification model?