9 – T-SNE
Word embeddings need to have high dimensionality in order to capture sufficient variations in natural language, which makes them super hard to visualize. T-SNE, which stands for t-Distributed Stochastic Neighbor Embedding, is a dimensionality reduction technique that can map high dimensional vectors to a lower dimensional space. It’s kind of like PCA, Principle Component Analysis, … Read more
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