On-Line Topic Detection Using Named Entity Recognition
Gao Jun · Beijing Daxue Xuebao. Zirankexueban · 2009
In order to make on-line topic detection more efficient,a new method is proposed based on named entity recognition. New method extracts news elements from stories. Based on news elements,query composition is used to detect story link. This process reduces complex computation of text similarities. Experimental result indicates that the proposed method performs on-link topic detection accurately and efficiently.