{"ID":2896227,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.07910","arxiv_id":"2507.07910","title":"DTECT: Dynamic Topic Explorer \u0026 Context Tracker","abstract":"The explosive growth of textual data over time presents a significant challenge in uncovering evolving themes and trends. Existing dynamic topic modeling techniques, while powerful, often exist in fragmented pipelines that lack robust support for interpretation and user-friendly exploration. We introduce DTECT (Dynamic Topic Explorer \u0026 Context Tracker), an end-to-end system that bridges the gap between raw textual data and meaningful temporal insights. DTECT provides a unified workflow that supports data preprocessing, multiple model architectures, and dedicated evaluation metrics to analyze the topic quality of temporal topic models. It significantly enhances interpretability by introducing LLM-driven automatic topic labeling, trend analysis via temporally salient words, interactive visualizations with document-level summarization, and a natural language chat interface for intuitive data querying. By integrating these features into a single, cohesive platform, DTECT empowers users to more effectively track and understand thematic dynamics. DTECT is open-source and available at https://github.com/AdhyaSuman/DTECT.","short_abstract":"The explosive growth of textual data over time presents a significant challenge in uncovering evolving themes and trends. Existing dynamic topic modeling techniques, while powerful, often exist in fragmented pipelines that lack robust support for interpretation and user-friendly exploration. We introduce DTECT (Dynamic...","url_abs":"https://arxiv.org/abs/2507.07910","url_pdf":"https://arxiv.org/pdf/2507.07910v2","authors":"[\"Suman Adhya\",\"Debarshi Kumar Sanyal\"]","published":"2025-07-10T16:44:33Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.AI\",\"cs.IR\"]","methods":"[\"Large Language Model\",\"LoRA\"]","has_code":false,"code_links":[{"ID":612252,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2896227,"paper_url":"https://arxiv.org/abs/2507.07910","paper_title":"DTECT: Dynamic Topic Explorer \u0026 Context Tracker","repo_url":"https://github.com/AdhyaSuman/DTECT","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}