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What is tokenization in Natural Language Processing (NLP)?
What is tokenization in Natural Language Processing (NLP)?
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What is tokenization in Natural Language Processing (NLP)?
The process of converting text into numerical data
The process of splitting text into individual words or phrases
The process of training a model on labeled data
The process of evaluating model performance
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Tokenization is the process of splitting text into individual words or phrases, which are called tokens.
Questions & Step-by-step Solutions
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Q: What is tokenization in Natural Language Processing (NLP)?
Solution:
Tokenization is the process of splitting text into individual words or phrases, which are called tokens.
Steps: 5
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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.
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