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news-topics.ipynb

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CCliffordAnderson
Last edited Dec 22, 2025
Created on Oct 23, 2023

A 2D UMAP projection maps topic vectors extracted from a news article dataset using Top2Vec. Each point represents a topic, labeled with its top word, and colored by topic number. The notebook downloads the NewArticles dataset from Harvard Dataverse, trains a Top2Vec model, and uses UMAP’s `UMAP` class to reduce dimensions. Matplotlib and Seaborn render the scatter plot with labels and a color bar.

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