GloVe Word Embeddings on Movies Plot

Every word can be represented into N-Dimension Space after applying Machine Learning Algorithms on documents. The most famous algorithms are the Word2Vec built by Google and the GloVe built by Stanford University. We will work with the GloVe pre-trained model. The idea is to represent into a50-D space every Movie Plot Summary and based on this vector to find similar movies. Finally, we will do dimensionality reduction by applying the T-SNE algorithm and to represent the plot summaries into 2-D space.