sõnatokeniseerimine
Sõnatokeniseerimine, also known as word tokenization, is the process of breaking down a text into smaller units, called tokens, which can be words, phrases, or symbols. This process is fundamental in natural language processing (NLP) and information retrieval, as it allows for the analysis and manipulation of text data at a granular level. Tokenization is typically the first step in text preprocessing, followed by other processes such as stemming, lemmatization, and part-of-speech tagging.
There are several methods for tokenization, each with its own advantages and limitations. The simplest method
Tokenization plays a crucial role in various NLP applications, including text classification, sentiment analysis, and machine
In conclusion, sõnatokeniseerimine is a vital process in NLP that enables the analysis and manipulation of