{"ID":2875678,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.01051","arxiv_id":"2509.01051","title":"Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces","abstract":"Many real-world datasets -- from an artist's body of work to a person's social media history -- exhibit meaningful semantic changes over time that are difficult to capture with existing dimensionality reduction methods. To address this gap, we introduce a visualization technique that combines force-based projection and streaming clustering methods to build a spatial-temporal map of embeddings. Applying this technique, we create Chronotome, a tool for interactively exploring evolving themes in time-based data -- in real time. We demonstrate the utility of our approach through use cases on text and image data, showing how it offers a new lens for understanding the aesthetics and semantics of temporal datasets.","short_abstract":"Many real-world datasets -- from an artist's body of work to a person's social media history -- exhibit meaningful semantic changes over time that are difficult to capture with existing dimensionality reduction methods. To address this gap, we introduce a visualization technique that combines force-based projection and...","url_abs":"https://arxiv.org/abs/2509.01051","url_pdf":"https://arxiv.org/pdf/2509.01051v1","authors":"[\"Matte Lim\",\"Catherine Yeh\",\"Martin Wattenberg\",\"Fernanda Viégas\",\"Panagiotis Michalatos\"]","published":"2025-09-01T01:32:25Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.CL\",\"cs.CV\",\"cs.LG\"]","methods":"[]","has_code":false}