15.2698, Media: Web Content Analysis -- US Election 2004

[LINGUIST List]

LINGUIST List: Vol-15-2698. Wed Sep 29 2004. ISSN: 1068 - 4875.

Subject: 15.2698, Media: Web Content Analysis -- US Election 2004

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1)
Date: 28-Sep-2004
From: Arno Scharl < arno.scharl at uwa.edu.au >
Subject: Web Content Analysis -- US Election 2004


	
-------------------------Message 1 ----------------------------------
Date: Wed, 29 Sep 2004 23:42:05
From: Arno Scharl < arno.scharl at uwa.edu.au >
Subject: Web Content Analysis -- US Election 2004



Dear Colleagues,

Five weeks prior to the US Election 2004, the ECOresearch Network has
launched a Web monitoring system to track the candidates' performance
on the campaign trail (www.ecoresearch.net/election2004). Weekly
snapshots of media coverage showcase the potential of automated
content analysis by revealing regional differences and contrasting
the sites of international media, the Fortune 1000 and environmental
organizations.

Analyzing these sites yields more than 500,000 documents each week,
comprising about 125 million words in 11 million sentences. An
automated process then identifies attention by counting the number of
references to a candidate. It measures attitude by associating these
references with positive and negative terms. Keywords, grouped by
political party and geographic region, reflect topics associated with
the candidates.

Best regards, Arno Scharl

----------------------------------------------------
DDr Arno Scharl
Professor of Information Systems
University of Western Australia, Business School
35 Stirling Highway, Crawley, WA 6009, Australia
(e) arno.scharl at uwa.edu.au
(w) www.ecoresearch.net
----------------------------------------------------
Linguistic Field(s): Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics



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LINGUIST List: Vol-15-2698