Aiming at the requirements of network public feeling analysis,the formal definition and description of the popular topic on Internet is presented,the relationship between hot words and popular topics is analyzed,and finally a hotpoint words correlation computing approach for extracting popular topics on Internet is introduced in traffic contents.

BBS hot topic mining algorithm based on fuzzy clustering;

Hot Topic Mining and Opinion Analysis on BBS;

The Experiments show that this algorithm is effective for Internet hot topic detection.

We argue that the concept of "topical focus" proposed by Xu & Liu is actually identical to contrastive topic,rather than focus.