Tokenization and Normalization
Text preprocessing techniques.
1
Tokenization and Normalization
Text preprocessing is a crucial step in NLP. It involves transforming raw text into a structured format for analysis. Key preprocessing steps include tokenization and normalization.
2
What is Tokenization?
Tokenization is the process of breaking down text into smaller units, called tokens. Tokens can be words, sentences, or characters.
For example:
Text: "NLP is amazing!"
Tokens: ["NLP", "is", "amazing", "!"]
All lessons in this course
- Working with Text Data
- Tokenization and Normalization
- N-Gram Models
- Sentiment Analysis Concepts
- Transformer-Based Models