Visual Evaluation of Text Features for Document Summarization and Analysis

Oelke, Daniela; Bak, Peter; Keim, Daniel A.; Last, Mark; Danon, Guy

Visual Evaluation of Text Features for Document Summarization and Analysis

Dateien

Visual_Evaluation_of_Text_Features_for_Document_Summarization_and_Analysis.pdfGröße: 4.92 MBDownloads: 976

Datum

2008

Autor:innen

Oelke, Daniela

Bak, Peter

Keim, Daniel A.

Last, Mark

Danon, Guy

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

2008 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2008, pp. 75-82. ISBN 978-1-4244-2935-6. Available under: doi: 10.1109/VAST.2008.4677359

Zusammenfassung

Thanks to the web-related and other advanced technologies, textual information is increasingly being stored in digital form and posted online. Automatic methods to analyze such textual information are becoming inevitable. Many of those methods are based on quantitative text features. Analysts face the challenge to choose the most appropriate features for their tasks. This requires effective approaches for evaluation and feature-engineering. In this paper we suggest an approach to visually evaluate textanalysis features as part of an interactive feedback loop between evaluation and feature engineering. We apply documentfingerprinting for visualizing text features as an integral part of the analytic process. Consequently, analysts are able to access interim results of the applied automatic methods and alter their properties to achieve better results.
We implement and evaluate the methodology on two different tasks, namely opinion analysis and document summarization and show that our iterative method leads to improved performance.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Dokumentanalyse, document analysis, text features, visualization

Konferenz

2008 IEEE Symposium on Visual Analytics Science and Technology (VAST), 19. Okt. 2008 - 24. Okt. 2008, Columbus, OH, USA

Zitieren

ISO 690

OELKE, Daniela, Peter BAK, Daniel A. KEIM, Mark LAST, Guy DANON, 2008. Visual Evaluation of Text Features for Document Summarization and Analysis. 2008 IEEE Symposium on Visual Analytics Science and Technology (VAST). Columbus, OH, USA, 19. Okt. 2008 - 24. Okt. 2008. In: 2008 IEEE Symposium on Visual Analytics Science and Technology. IEEE, 2008, pp. 75-82. ISBN 978-1-4244-2935-6. Available under: doi: 10.1109/VAST.2008.4677359

BibTex

@inproceedings{Oelke2008-10Visua-5899,
  year={2008},
  doi={10.1109/VAST.2008.4677359},
  title={Visual Evaluation of Text Features for Document Summarization and Analysis},
  isbn={978-1-4244-2935-6},
  publisher={IEEE},
  booktitle={2008 IEEE Symposium on Visual Analytics Science and Technology},
  pages={75--82},
  author={Oelke, Daniela and Bak, Peter and Keim, Daniel A. and Last, Mark and Danon, Guy}
}

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Universitätsbibliographie

Ja