Word2Vec Training Visualization

Watch word embeddings organize in real-time using skip-gram with negative sampling

Training Corpus

Remove stop words (the, and, in, etc.)

Learning Rate

0.025

Window Size

Training Speed (steps per frame)

Embedding Dimension

Statistics

Iteration: 0

Loss: -

Vocabulary: 0

Current Training Pair

Click "Start Training" to begin

How it works: The algorithm learns to predict context words from target words. Words that appear in similar contexts end up close together in the embedding space. Stop words are still used for training context but hidden from visualization.