@inproceedings{fischer-biemann-2026-perspectives,
title = "Perspectives {--} Interactive Document Clustering for Qualitative Data Analysis",
author = "Fischer, Tim and
Biemann, Chris",
editor = {Hamilton, Sil and
{\"O}hman, Emily and
Hicke, Rebecca M. M. and
Bizzoni, Yuri and
Bax, Axel and
Matthews, Jacob A. and
H{\"a}m{\"a}l{\"a}inen, Mika},
booktitle = "Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities",
month = jul,
year = "2026",
address = "San Diego, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.nlp4dh-1.36/",
pages = "411--422",
ISBN = "979-8-89176-427-9",
abstract = "This paper introduces \textit{Perspectives}, an interactive extension of a qualitative data analysis tool suite developed at our university, designed to empower Digital Humanities (DH) scholars to explore and organize large, unstructured document collections. \textit{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 \textit{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."
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<abstract>This paper introduces Perspectives, an interactive extension of a qualitative data analysis tool suite developed at our university, 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.</abstract>
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%0 Conference Proceedings
%T Perspectives – Interactive Document Clustering for Qualitative Data Analysis
%A Fischer, Tim
%A Biemann, Chris
%Y Hamilton, Sil
%Y Öhman, Emily
%Y Hicke, Rebecca M. M.
%Y Bizzoni, Yuri
%Y Bax, Axel
%Y Matthews, Jacob A.
%Y Hämäläinen, Mika
%S Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, USA
%@ 979-8-89176-427-9
%F fischer-biemann-2026-perspectives
%X This paper introduces Perspectives, an interactive extension of a qualitative data analysis tool suite developed at our university, 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.
%U https://aclanthology.org/2026.nlp4dh-1.36/
%P 411-422
Markdown (Informal)
[Perspectives – Interactive Document Clustering for Qualitative Data Analysis](https://aclanthology.org/2026.nlp4dh-1.36/) (Fischer & Biemann, NLP4DH 2026)
ACL