Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ
Abstract
Scattertext is an open source tool for visualizing linguistic variation between document categories in a language-independent way. The tool presents a scatterplot, where each axis corresponds to the rank-frequency a term occurs in a category of documents. Through a tie-breaking strategy, the tool is able to display thousands of visible term-representing points and find space to legibly label hundreds of them. Scattertext also lends itself to a query-based visualization of how the use of terms with similar embeddings differs between document categories, as well as a visualization for comparing the importance scores of bag-of-words features to univariate metrics.
Cite
@article{arxiv.1703.00565,
title = {Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ},
author = {Jason S. Kessler},
journal= {arXiv preprint arXiv:1703.00565},
year = {2017}
}
Comments
ACL 2017 Demos. 6 pages, 5 figures. See the Githup repo https://github.com/JasonKessler/scattertext for source code and documentation