kontekstivektor
Kontekstivetor, a term originating from computational linguistics and artificial intelligence, refers to a numerical representation of the contextual meaning of a word or phrase. Instead of treating words as isolated entities, kontekstivetor captures their meaning based on the surrounding words in a given text. This is achieved through various algorithms, most notably word embedding techniques such as Word2Vec, GloVe, and fastText.
These algorithms learn to associate words that appear in similar contexts with similar vector representations. Words
Kontekstivetor have become fundamental in many natural language processing (NLP) tasks. They enable machines to understand