Crosslanguage blog mining and trend visualisation

Andreas Juffinger*, Elisabeth Lex

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationWWW'09 - Proceedings of the 18th International World Wide Web Conference
Number of pages2
Publication statusPublished - 1 Dec 2009
Event18th International World Wide Web Conference, WWW 2009 - Madrid, Spain
Duration: 20 Apr 200924 Apr 2009


Conference18th International World Wide Web Conference, WWW 2009


  • Algorithms
  • Experimentation

ASJC Scopus subject areas

  • Computer Networks and Communications


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