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<p align="CENTER"><font size="4" face="Verdana"><b><span style="color:rgb(0,0,0)">Media@Sydney and the Faculty of Arts and Social Sciences present<br>
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</span><font>Visual Text Analytics:</font></b></font></p>
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<p align="CENTER"><font size="4" face="Verdana"><b><font>Computational Methodologies for Analysing Communications <br>
<i style="color:rgb(0,0,0)"><br>
</i><font>Dr Daniel Angus (University of Queensland)</font></font></b></font></p>
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<p><font face="Tahoma"><font><span style="background-color:rgb(255,255,255)">Visual Text Analytics are new e-research </span><span style="background-color:rgb(255,255,255)">technologies for visually examining and interpreting a range of text-based communications
from news stories to tweets. </span></font><span style="background-color:rgb(255,255,255)">In this talk Dr Daniel Angus presents the application of two visual text analytic technologies (Leximancer and Discursis) to a range of case studies including tracking
news coverage of controversial issues (coal seam gas), media discourse analysis (audience discussion shows) and social media data analysis (Twitter during a political campaign). The presentation will cover </span><span style="background-color:rgb(255,255,255)">how
the techniques automatically process text to build a statistically-grounded language model; how they are able to identify the most salient concepts and their inter-relationships, and how they can be used to highlight participant interactions around specific
topics over the time-course of a communication dataset. As well as indicating these tools' potential uses in a variety of qualitative studies, the talk will explore how these techniques can be tailored to provide quantitative measures including measurements
of conceptual prominence; conceptual consistency; and concept novelty.</span></font></p>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt; font-weight:normal"><font class="Apple-style-span" size="3"><b>Date:</b> Friday 13th June, 2014</font></p>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt; font-weight:normal"><font class="Apple-style-span" size="3"><b>Time: </b>10:00-11:30<b></b></font></p>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt; font-weight:normal"><font class="Apple-style-span" size="3"><b>Location: </b>S226<b> </b>Seminar Room, Department of Media and Communications, University of Sydney, <a href="http://db.auth.usyd.edu.au/directories/map/building.stm?ref=d08h15" target="_blank"><b><span style="color:rgb(0,0,239); text-decoration:none">John
Woolley Building (A20)</span></b></a><b><span style="color:blue"> </span></b>level 2, entry off Manning Road.</font></p>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt; font-weight:normal"><b><font class="Apple-style-span" size="3">Register at </font></b><u style="color:rgb(0,0,239)"><a href="http://www.eventbrite.com.au/e/visual-text-analytics-computational-methodologies-for-the-analysis-of-communication-data-tickets-11597172455" target="_blank">http://www.eventbrite.com.au/e/visual-text-analytics-computational-methodologies-for-the-analysis-of-communication-data-tickets-11597172455</a></u></p>
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Dr Daniel Angus</strong><span style="background-color:rgb(255,255,255)"> is a Lecturer with the University of Queensland in the School of Information Technology and Electrical Engineering and the School of Journalism and Communication. His teaching and research
is focused on information visualisation, text analytics, and computational social science. From 2008 to 2011 he was a member of the ARC Special Initiative, Thinking Systems. This project involved researchers from many different disciplines such as Biology,
Neuroscience, Psychology and Computer Science. Dr Angus’ role within the project was to explore how conceptual information is processed and stored by mammals and use any insights gained for the development of conceptual mapping tools. An outcome of this research
was the Discursis text analytic tool which is a useful way to visualise and obtain metrics from conversation transcripts.</span></font></div>
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<font face="Verdana" size="2" color="#333333"><span style="font-size:16px"><font color="black"><span lang="en-US"><b>Media@Sydney is presented by the </b></span></font></span></font></div>
<div align="center" style="font-size:14.44444465637207px; font-family:Arial,sans-serif; color:rgb(0,0,0); text-align:center; background-color:white; margin:0px; padding:0px; border-width:0px">
<font face="Verdana" size="2" color="#333333"><span style="font-size:16px"><a href="http://sydney.edu.au/arts/media_communications/" target="_blank"><span lang="en-US"><b>Department of Media and Communications</b></span></a><font color="black"><span lang="en-US"><b>,
University of Sydney</b></span></font></span></font></div>
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</span><span style="font-family:Verdana"><b>For more information contact</b></span><b><span style="font-family:Verdana"><br>
</span></b><span style="font-family:Verdana">Dr Fiona Martin </span><span style="font-family:Verdana"><br>
</span><span style="font-family:Verdana">T: 0428391122 or 02 90365098 </span><span style="font-family:Verdana"><br>
</span><span style="font-family:Verdana">E: </span><a href="UrlBlockedError.aspx" target="_blank"><span style="font-family:Verdana">fiona.martin@sydney.edu.au</span></a></font><span style="font-family:Calibri,sans-serif"><font face="Garamond"><span style="font-family:Verdana">
<</span><a href="mailto:fiona.martin@sydney.edu.au" target="_blank"><span style="font-family:Verdana">mailto:fiona.martin@sydney.edu.au</span></a><span style="font-family:Verdana">>
</span><span style="font-family:Verdana"><br>
</span></font><font face="Verdana,Helvetica,Arial">M: 0428 391 122<br>
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