Embedding Projector: Interactive Visualization and Interpretation of Embeddings
Daniel Smilkov, Nikhil Thorat, Charles Nicholson, Emily Reif, Fernanda, B. Vi\'egas, Martin Wattenberg

TL;DR
The paper introduces the Embedding Projector, an interactive tool designed for visualizing and interpreting embeddings across various machine learning applications, aiding researchers in exploring embedding properties.
Contribution
It presents a novel interactive visualization tool that enables detailed exploration and interpretation of embeddings in machine learning.
Findings
Facilitates understanding of embedding structures
Supports various types of embeddings and datasets
Enhances interpretability of complex models
Abstract
Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Researchers and developers often need to explore the properties of a specific embedding, and one way to analyze embeddings is to visualize them. We present the Embedding Projector, a tool for interactive visualization and interpretation of embeddings.
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Taxonomy
TopicsData Visualization and Analytics · Advanced Text Analysis Techniques · Topic Modeling
