Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces

Glenn Roe; Alfie Abdul-Rahman; Min Chen; Clovis Gladstone; Robert Morrissey; Mark Olsen

Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces

Glenn Roe, Alfie Abdul-Rahman, Min Chen, Clovis Gladstone, Robert Morrissey, Mark Olsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper examines the use of 'visual analytic' techniques to scrutinise and refine current approaches and algorithms for the identification of text reuse and alignment. In particular, we compare text alignment approaches using the ViTA (Visualization for Text Alignment) system we have developed in the context of a Digging into Data project that seeks to identify 18th century commonplaces in large-scale historical datasets. By leveraging the flexibility of image processing techniques to visualize text alignments in a variety of ways and using multiple parameters, we can improve upon current alignment algorithms in an iterative and integrated process of automated text mining, multivariate visualization, and human-computer interaction

Original language	English
Title of host publication	Digital Humanities 2015
Place of Publication	Sydney, Australia
Publisher	University of Western Sydney
Edition	Peer Reviewed
Publication status	Published - 2015
Event	Digital Humanities 2015 - University of Western Sydney Duration: 1 Jan 2015 → … http://dh2015.org/abstracts/

Conference

Conference	Digital Humanities 2015
Period	1/01/15 → …
Other	June 29 - July 3 2015
Internet address	http://dh2015.org/abstracts/

Cite this

@inproceedings{84b1559c70664b9e94263d8b808a7c5d,

title = "Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces",

abstract = "This paper examines the use of 'visual analytic' techniques to scrutinise and refine current approaches and algorithms for the identification of text reuse and alignment. In particular, we compare text alignment approaches using the ViTA (Visualization for Text Alignment) system we have developed in the context of a Digging into Data project that seeks to identify 18th century commonplaces in large-scale historical datasets. By leveraging the flexibility of image processing techniques to visualize text alignments in a variety of ways and using multiple parameters, we can improve upon current alignment algorithms in an iterative and integrated process of automated text mining, multivariate visualization, and human-computer interaction",

author = "Glenn Roe and Alfie Abdul-Rahman and Min Chen and Clovis Gladstone and Robert Morrissey and Mark Olsen",

year = "2015",

language = "English",

booktitle = "Digital Humanities 2015",

publisher = "University of Western Sydney",

edition = "Peer Reviewed",

note = "Digital Humanities 2015 ; Conference date: 01-01-2015",

url = "http://dh2015.org/abstracts/",

}

TY - GEN

T1 - Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces

AU - Roe, Glenn

AU - Abdul-Rahman, Alfie

AU - Chen, Min

AU - Gladstone, Clovis

AU - Morrissey, Robert

AU - Olsen, Mark

PY - 2015

Y1 - 2015

N2 - This paper examines the use of 'visual analytic' techniques to scrutinise and refine current approaches and algorithms for the identification of text reuse and alignment. In particular, we compare text alignment approaches using the ViTA (Visualization for Text Alignment) system we have developed in the context of a Digging into Data project that seeks to identify 18th century commonplaces in large-scale historical datasets. By leveraging the flexibility of image processing techniques to visualize text alignments in a variety of ways and using multiple parameters, we can improve upon current alignment algorithms in an iterative and integrated process of automated text mining, multivariate visualization, and human-computer interaction

AB - This paper examines the use of 'visual analytic' techniques to scrutinise and refine current approaches and algorithms for the identification of text reuse and alignment. In particular, we compare text alignment approaches using the ViTA (Visualization for Text Alignment) system we have developed in the context of a Digging into Data project that seeks to identify 18th century commonplaces in large-scale historical datasets. By leveraging the flexibility of image processing techniques to visualize text alignments in a variety of ways and using multiple parameters, we can improve upon current alignment algorithms in an iterative and integrated process of automated text mining, multivariate visualization, and human-computer interaction

M3 - Conference contribution

BT - Digital Humanities 2015

PB - University of Western Sydney

CY - Sydney, Australia

T2 - Digital Humanities 2015

Y2 - 1 January 2015

ER -

Visualizing Text Alignments: Image Processing Techniques for Locating 18th-Century Commonplaces

Abstract

Conference

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