ViziTex: Interactive Visual Sense-Making of Text Corpora

Natraj Raman, Sameena Shah, Tucker Balch, Manuela Veloso


Abstract
Information visualization is critical to analytical reasoning and knowledge discovery. We present an interactive studio that integrates perceptive visualization techniques with powerful text analytics algorithms to assist humans in sense-making of large complex text corpora. The novel visual representations introduced here encode the features delivered by modern text mining models using advanced metaphors such as hypergraphs, nested topologies and tessellated planes. They enhance human-computer interaction experience for various tasks such as summarization, exploration, organization and labeling of documents. We demonstrate the ability of the visuals to surface the structure, relations and concepts from documents across different domains.
Anthology ID:
2021.dash-1.3
Volume:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
Month:
June
Year:
2021
Address:
Online
Venues:
DaSH | NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
16–23
Language:
URL:
https://aclanthology.org/2021.dash-1.3
DOI:
10.18653/v1/2021.dash-1.3
Bibkey:
Cite (ACL):
Natraj Raman, Sameena Shah, Tucker Balch, and Manuela Veloso. 2021. ViziTex: Interactive Visual Sense-Making of Text Corpora. In Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances, pages 16–23, Online. Association for Computational Linguistics.
Cite (Informal):
ViziTex: Interactive Visual Sense-Making of Text Corpora (Raman et al., DaSH 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.dash-1.3.pdf