What Are Embedding Models? At their core, embedding models are tools that convert complex data—such as words, sentences, images, or…
What are Co-occurrence Matrices? Co-occurrence matrices serve as a fundamental tool across various disciplines, unveiling intricate statistical relationships hidden within…
What is Distributional Semantics? Understanding the meaning of words has always been a fundamental challenge in natural language processing (NLP).…
What is Node2Vec? Node2Vec is a popular algorithm for learning continuous representations (embeddings) of nodes in a graph. It is…
What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP)…
What are Embeddings from Language Models (ELMo)? ELMo, short for Embeddings from Language Models, revolutionized the landscape of NLP by…
What is fastText? fastText, a product of Facebook's AI Research (FAIR) team, represents a remarkable leap forward in natural language…
What are GloVe Embeddings? GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm that obtains vector word…
In today's data-driven world, making sense of vast volumes of text data is paramount. Natural Language Processing (NLP) techniques are…
Introduction to word embeddings Word embeddings have become a cornerstone of Natural Language Processing (NLP), transforming how machines process and…