155
5
archive
disk0/00/00/01/55
2009-04-06 19:13:25
2009-04-14 04:37:12
2009-04-06 19:13:25
conference_item
show
0
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Juffinger
Andreas
Know-Center
-
Lex
Elisabeth
Know-Center
Crosslanguage Blog Mining and Trend Visualisation
pub
public
poster
People use weblogs to express thoughts, present ideas and share knowledge, therefore weblogs are extraordinarily valuable resources, amongs others, for trend analysis. Trends are derived from the chronological sequence of blog post count per topic. The comparison with a reference corpus allows qualitative statements over identified trends. We propose a crosslanguage blog mining and trend visualisation system to analyse blogs across languages and topics. The trend visualisation facilitates the identification of trends and the comparison with the reference news article corpus. To prove the correctness of our system we computed the correlation between trends in blogs and news articles for a subset of blogs and topics. The evaluation corroborated our hypothesis of a high correlation coefficient for these subsets and therefore the correctness of our system for different languages and topics is proven.
2009-04
1149-1149
18th International World Wide Web Conference
Madrid, Spain
April 20th-24th, 2009
conference
TRUE
155
4
155
1
application/pdf
en
public
p1149.pdf
published
p1149.pdf
524090
http://www2009.eprints.org/155/1/p1149.pdf