Summarizing text to embed qualitative data into visualizations

TL;DR

This paper explores methods for summarizing qualitative text data to effectively embed it into visualizations, addressing space constraints and readability through NLP summarization techniques.

Contribution

It introduces a framework for summarizing qualitative data to enhance visualization integration, leveraging NLP for space-efficient text representation.

Findings

Summarization improves text fit within visualizations.

Effective summaries maintain key qualitative information.

Framework supports diverse visualization types.

Abstract

Qualitative data can be conveyed with strings of text. Fitting longer text into visualizations requires a) space to place the text inside the visualization; and b) appropriate text to fit the space available. For quantitative visualizations, space is available in area marks; or within visualization layouts where the marks have an implied space (e.g. bar charts). For qualitative visualizations, space is defined in common text layouts such as prose paragraphs. To fit text within these layouts is a function for emerging NLP capabilities such as summarization.