TY  - CONF
ID  - www2009155
UR  - http://www2009.eprints.org/155/
A1  - Juffinger, Andreas
A1  - Lex, Elisabeth
Y1  - 2009/04//
N2  - 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 identi?ed trends. We propose a crosslanguage blog mining and trend visualisation system to analyse blogs across languages and topics. The trend visualisation facilitates the identi?cation 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.
TI  - Crosslanguage Blog Mining and Trend Visualisation
SP  - 1149
M2  - Madrid, Spain
AV  - public
EP  - 1149
T2  - 18th International World Wide Web Conference
ER  -