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SCORES - Semantic Clustering of Open Responses via Embedding Similarity

Desktop interface for clustering free-text survey response data, using large language model embeddings and clustering algorithms. Includes functionality to determine the optimal number of clusters automatically and visualize the results.

Built with Electron, React, and Python.

Available on Windows & Linux. Refer to Releases section for downloads.

This application is the continuation of my thesis project.

SCORES_2025-02-23_18-59-23 SCORES_2025-02-23_18-59-58 SCORES_2025-02-23_19-00-39 SCORES_2025-02-23_19-00-56 SCORES_2025-02-23_19-01-16 SCORES_2025-02-23_19-02-57 SCORES_2025-02-23_19-03-55 SCORES_2025-02-23_19-03-24 SCORES_2025-02-23_19-04-34 SCORES_2025-02-23_19-04-27

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Semantic Clustering of Open Responses via Embedding Similarity

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