GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm for obtaining vector representations for words by aggregating global word-word co-occurrence statistics from a corpus. It effectively captures semantic relationships between words by learning word embeddings that reflect the linear substructure of the word vector space.