The research reported here examined the use of computer generated graphics as a
means to assist humans to analyse text documents which have not been subject to
markup. The approach taken was to survey available visualization techniques in a
broad selection of disciplines including applications to text documents, group those
techniques using a taxonomy proposed in this research, then develop a selection of
techniques that assist the text analysis objective. Development of the selected techniques
from their fundamental basis, through their visualization, to their demonstration
in application, comprises most of the body of this research. A scientific orientation
employing measurements, combined with visual depiction and explanation of
the technique with limited mathematics, is used as opposed to fully utilising any one
of those resulting techniques for performing complete text document analysis.
Visualization techniques which apply directly to the text and those which exploit
measurements produced by associated techniques are considered. Both approaches
employ visualization to assist the human viewer to discover patterns which are then
used in the analysis of the document. In the measurement case, this requires consideration
of data with dimensions greater than three, which imposes a visualization
difficulty. Several techniques for overcoming this problem are proposed. Word frequencies,
Zipf considerations, parallel coordinates, colour maps, Cusum plots, and
fractal dimensions are some of the techniques considered.
One direct application of visualization to text documents is to assist reading of
that document by de-emphasising selected words by fading them on the display from
which they are read. Three word selection techniques are proposed for the automatic
selection of which words to use.
An experiment is reported which used such word fading techniques. It indicated
that some readers do have improved reading speed under such conditions, but others
do not. The experimental design enabled the separation of that group which did
decrease reading times from the remaining readers who did not. Measurement of
comprehension errors made under different types of word fading were shown not to
increase beyond that obtained under normal reading conditions.
A visualization based on categorising the words in a text document is proposed
which contrasts to visualization of measurements based on counts. The result is a
visual impression of the word composition, and the evolution of that composition
within that document.
The text documents used to demonstrates these techniques include English novels
and short stories, emails, and a series of eighteenth century newspaper articles known
as the Federalist Papers. This range of documents was needed because all analysis techniques
are not applicable to all types of documents. This research proposes that an
interactive use of the techniques on hand in a non-prescribed order can yield useful
results in a document analysis. An example of this is in author attribution, i.e. assigning
authorship of documents via patterns characteristic of an individuals writing
style. Different visual techniques can be used to explore the patterns of writing in
given text documents.
Asoftware toolkit as a platform for implementing the proposed interactive analysis
of text documents is described. How the techniques could be integrated into such a
toolkit is outlined. A prototype of software to implement such a toolkit is included
in this research. Issues relating to implementation of each technique used are also
outlined.
ii
| Identifer | oai:union.ndltd.org:ADTP/221712 |
| Date | January 2005 |
| Creators | rmatycorp@iinet.net.au, Ross J. Maloney |
| Publisher | Murdoch University |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://www.murdoch.edu.au/goto/CopyrightNotice, Copyright Ross J. Maloney |
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