Semantic Clustering of Open Responses via Embedding Similarity
SCORES is a desktop application that clusters free-text survey responses using large language model embeddings and clustering algorithms. It automatically determines the optimal number of clusters and provides visualization tools for analyzing semantic patterns in open-ended responses. The tool is designed for researchers and analysts working with qualitative survey data who need to identify themes and patterns in textual responses.
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