Explore natural language processing concepts through beautiful, interactive visualizations. See how algorithms work step-by-step with real data and parameters you can adjust.
Interactive tool to explore different tokenization methods and their effects on text.
Compare stemming and lemmatization techniques with interactive examples.
Analyze and visualize n-gram patterns in text data.
Visualize how attention mechanisms work in transformer models.
Interactive exploration of transformer model architecture and data flow.
Understand backpropagation and gradient flow in neural networks.
Explore word embeddings in interactive 2D and 3D space.
Compare different sentence embedding techniques and their semantic representations.
Compare how contextual embeddings change meaning based on context.
Build and train text classifiers with different algorithms interactively.
Explore sentiment analysis techniques and see predictions in real-time.
Visualize NER models identifying entities in text with confidence scores.
Experiment with different language models and generation strategies.
Understand perplexity and other language model evaluation metrics.
Visualize syntactic dependencies and parse trees for sentences.
Explore POS tagging with different models and tag sets.