@inproceedings{9189d451c52f4c65aafb3ac71a884a68,
title = "Topic Models and Metadata for Visualizing Text Corpora",
abstract = "Effectively exploring and analyzing large text corpora requires visualizations that provide a high level summary. Past work has relied on faceted browsing of document metadata or on natural language processing of document text. In this paper, we present a new web-based tool that integrates topics learned from an unsupervised topic model in a faceted browsing experience. The user can manage topics, filter documents by topic and summarize views with metadata and topic graphs. We report a user study of the usefulness of topics in our tool.",
author = "Justin Snyder and Rebecca Knowles and Mark Dredze and Gormley, {Matthew R.} and Travis Wolfe",
note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics.; 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Demonstration Session ; Conference date: 10-06-2013 Through 12-06-2013",
year = "2013",
language = "English (US)",
series = "2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Demonstration Session",
publisher = "Association for Computational Linguistics (ACL)",
pages = "5--9",
editor = "Chris Dyer and Derrick Higgins",
booktitle = "2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics",
address = "United States",
}