The document provides an overview of word embedding techniques in natural language processing, focusing on libraries like Word2Vec and FastText. It explains how these methods represent words as vectors, detailing their advantages and limitations, particularly for morphologically rich languages. Additionally, it includes various resources and links for further exploration of the topic.