Sciweavers

Share
WWW
2009
ACM

Crosslanguage blog mining and trend visualisation

11 years 3 months ago
Crosslanguage blog mining and trend visualisation
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. Categories and Subject Descriptors H.4.m [Information Systems]: Web Content, Blogosphere ...
Andreas Juffinger, Elisabeth Lex
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2009
Where WWW
Authors Andreas Juffinger, Elisabeth Lex
Comments (0)
books