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AAAI 2026official proceedings

DTECT: Dynamic Topic Explorer & Context Tracker

Suman Adhya, Debarshi Kumar Sanyal

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1609/aaai.v40i48.42333 ↗

摘要

To address the challenge of interpreting evolving themes in temporal text, we present DTECT (Dynamic Topic Explorer & Context Tracker), an interactive, end-to-end system for uncovering thematic dynamics. The system integrates a complete pipeline that supports data preprocessing, multiple model architectures, and dedicated metrics to analyze temporal topic quality. To enhance interpretability, DTECT features LLM-driven automatic topic labeling, trend analysis, interactive visualizations with document summarization, and a natural language chat interface. This cohesive platform empowers users to intuitively explore how topics change over time.