Semantic Text Clustering
Segmented and clustered textual data using semantic similarity from transformer-based word embeddings. Applied PCA and UMAP for dimensionality reduction, followed by clustering with K-Means, FAISS, and Agglomerative methods. Evaluated performance using silhouette scores.
Semantic Text Clustering
Segmented and clustered textual data using semantic similarity from transformer-based word embeddings. Applied PCA and UMAP for dimensionality reduction, followed by clustering with K-Means, FAISS, and Agglomerative methods. Evaluated performance using silhouette scores.
NLPWord EmbeddingsDimensionality Reduction
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