What is Difference between Word2Vec and Glove

Question

Accepted Answer

Word2Vec and Glove are both popular algorithms for generating word embeddings, but they differ in their approach to training.

Word2Vec is a predictive model that learns word embeddings by predicting the surrounding words in a sentence.
GloVe (Global Vectors for Word Representation) is a count-based model that learns word embeddings by looking at global word co-occurrence statistics.
Word2Vec is trained on a large corpus of text data to learn word vectors, while GloVe is trained on the co-occurrence matrix of words in the corpus.
Word2Vec is known for capturing semantic relationships between words, while GloVe is known for capturing global word co-occurrence patterns.
Both Word2Vec and GloVe have been widely used in natural language processing tasks such as sentiment analysis, machine translation, and text classification.

Top Exl India Consultant interview questions & answers