vektorepresentation
Vektorepresentation is a technique used in various fields, particularly in computer science and data analysis, to represent complex data as numerical vectors. This transformation allows for the application of mathematical and statistical methods that are designed to operate on numerical data. Essentially, it involves mapping an object, concept, or piece of information into a multi-dimensional space where each dimension corresponds to a specific feature or attribute.
The goal of vektorepresentation is to capture the semantic meaning or important characteristics of the original
The process of creating these vectors often involves algorithms like word embeddings (e.g., Word2Vec, GloVe), principal