An educational tool to visualise how Word2Vec learns word embeddings. Enter your text, train a model, and see how words cluster based on their context.
After training, enter a word from your corpus to find its closest neighbors in the vector space.
The high-dimensional word vectors are reduced to 2D using PCA and plotted below. Drag to pan and scroll to zoom.