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Perspectives - Interactive Document Clustering in the Discourse Analysis Tool Suite

arXiv 2602.15540 ↗First posted 17 Feb 2026cs.CLcited by 0

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Abstract (arXiv)

This paper introduces Perspectives, an interactive extension of the Discourse Analysis Tool Suite designed to empower Digital Humanities (DH) scholars to explore and organize large, unstructured document collections. Perspectives implements a flexible, aspect-focused document clustering pipeline with human-in-the-loop refinement capabilities. We showcase how this process can be initially steered by defining analytical lenses through document rewriting prompts and instruction-based embeddings, and further aligned with user intent through tools for refining clusters and mechanisms for fine-tuning the embedding model. The demonstration highlights a typical workflow, illustrating how DH researchers can leverage Perspectives's interactive document map to uncover topics, sentiments, or other relevant categories, thereby gaining insights and preparing their data for subsequent in-depth analysis.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 27 references that are in the map. First posted on arXiv 17 Feb 2026.

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References · 5

  1. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  2. 2014Distributed Representations of Sentences and Documentscited by 677
  3. 2023Large Language Models Enable Few-Shot Clusteringcited by 72
  4. 2023A User-Centered, Interactive, Human-in-the-Loop Topic Modelling Systemcited by 4
  5. 2022Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per classcited by 3

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