What distinguishes Word2Vec from GloVe in terms of their approach to word embeddings? Answer choices Select only one option a) Word2Vec utilizes a global context, while GloVe focuses on local context b) Word2Vec employs negative sampling, whereas GloVe uses softmax for training c) Word2Vec utilizes a local context, while GloVe focuses on global context d) Word2Vec uses a linear activation function in the output layer, while GloVe uses a sigmoid activation function