Tokens
Natural Language Processing
The process of breaking down text into smaller units called tokens, typically words or subwords.
Detailed Explanation
Tokenization is a fundamental step in Natural Language Processing that involves dividing text into smaller units known as tokens, such as words, subwords, or characters. This process enables machines to analyze, process, and understand language more effectively by transforming raw text into manageable parts for tasks like parsing, translation, and sentiment analysis.
Use Cases
- •Tokenization enables chatbots to interpret user input accurately by breaking sentences into manageable units for language understanding.
Related Terms
Other terms in the Natural Language Processing category