My Learning Cart
?
Categories
Account

What is tokenization in Natural Language Processing (NLP)?

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: What is tokenization in Natural Language Processing (NLP)?

Options:

  1. The process of converting text into numerical data
  2. The process of splitting text into individual words or phrases
  3. The process of training a model on labeled data
  4. The process of evaluating model performance

Correct Answer: The process of splitting text into individual words or phrases

Solution: 

Tokenization is the process of splitting text into individual words or phrases, which are called tokens.

What is tokenization in Natural Language Processing (NLP)?

Practice Questions

Q1
What is tokenization in Natural Language Processing (NLP)?
  1. The process of converting text into numerical data
  2. The process of splitting text into individual words or phrases
  3. The process of training a model on labeled data
  4. The process of evaluating model performance

Questions & Step-by-Step Solutions

What is tokenization in Natural Language Processing (NLP)?
  • Step 1: Understand that tokenization is a method used in Natural Language Processing (NLP).
  • Step 2: Know that the main goal of tokenization is to break down a piece of text.
  • Step 3: Realize that the text is split into smaller parts called tokens.
  • Step 4: Recognize that tokens can be individual words, phrases, or even sentences.
  • Step 5: Remember that tokenization helps computers understand and process human language.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks