TOKENIZATION || NLP || Natural language processing

Tokenization is a fundamental process in natural language processing (NLP) that involves breaking down text into smaller, manageable units called tokens. These tokens can be words, phrases, or even characters, depending on the context and application. By transforming text into structured data, tokenization enables machines to better understand and analyze human language. This process is crucial for various NLP tasks, including sentiment analysis, language translation, and information retrieval. Embracing tokenization empowers organizations to unlock the potential of their textual data, driving insights and enhancing decision-making.