Extraction of Topical Consumer Products from Weblogs

This paper proposes a new algorithm of associated topic ex-traction, which detects related topics in a collection of blog entries commenting on a specified topic. The main feature of the algorithm is to evaluate how important a topic is to the collection, according to the popularity of blog entries through Trackbacks and comments. Another feature is to utilize prod-uct ontology for excluding unrelated topics. Evaluation re-sults show that the proposed algorithm can capture users ’ im-pressions of associated topics more accurately than TF-IDF