tokenizácie
Tokenization is the process of breaking down a text into smaller units, known as tokens. These tokens can be words, phrases, symbols, or other meaningful elements, depending on the specific application and the rules defined for tokenization. The primary goal of tokenization is to simplify and standardize text data for further processing, such as natural language processing (NLP) tasks.
In NLP, tokenization is a crucial preprocessing step that prepares raw text for analysis. It involves several
Tokenization can be performed using various methods, such as rule-based approaches, machine learning algorithms, or deep
The choice of tokenization method depends on the specific requirements of the application and the characteristics
Tokenization plays a vital role in various NLP applications, including text classification, sentiment analysis, machine translation,