Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Proceedings of the 15th international conference on World Wide Web
Blogosphere: research issues, tools, and applications
ACM SIGKDD Explorations Newsletter
Crosslanguage retrieval based on Wikipedia statistics
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Efficient term cloud generation for streaming web content
ICWE'10 Proceedings of the 10th international conference on Web engineering
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems with Applications: An International Journal
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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.