GloVe Word Embeddings
GloVe is a word embedding model that constructs word vectors based on global co-occurrence statistics. Unlike Word2Vec, which relies on local context windows, GloVe captures the overall statistical relationships between words through matrix factorization. This approach enables GloVe to generate high-quality word representations that effectively encode semantic and syntactic relationships. This article will introduce the principles and training methods of GloVe.