For this exercise we will be asking the model the Analogy questions:
Using a pre-trained GloVe word vector I will make a model that will accurately answer the questions above.
https://nlp.stanford.edu/pubs/glove.pdf
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.