Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data

TL;DR

Spacewalker is an interactive visualization and exploration tool for unstructured data that helps users analyze, traverse, and annotate large datasets efficiently across multiple modalities, improving data integrity and annotation speed.

Contribution

This work introduces Spacewalker, a novel interactive system for exploring and annotating unstructured data across multiple modalities, with demonstrated efficiency improvements.

Findings

Reduces time and effort in data annotation.

Enhances data integrity verification.

Effective in large-scale dataset exploration.

Abstract

In industries such as healthcare, finance, and manufacturing, analysis of unstructured textual data presents significant challenges for analysis and decision making. Uncovering patterns within large-scale corpora and understanding their semantic impact is critical, but depends on domain experts or resource-intensive manual reviews. In response, we introduce Spacewalker in this system demonstration paper, an interactive tool designed to analyze, explore, and annotate data across multiple modalities. It allows users to extract data representations, visualize them in low-dimensional spaces and traverse large datasets either exploratory or by querying regions of interest. We evaluated Spacewalker through extensive experiments and annotation studies, assessing its efficacy in improving data integrity verification and annotation. We show that Spacewalker reduces time and effort compared to traditional methods. The code of this work is open-source and can be found at: https://github.com/code-lukas/Spacewalker