Study on Topic Tree-Based Topic Structure Modeling
2014 ◽
Vol 687-691
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pp. 1320-1323
Keyword(s):
The topic tree-based topic structure model is proposed using five-tuple and probability theory of ontology. Vocabularies in the glossary are presented with leaf nodes of the topic tree. The results of simulation experiment on real news corpus eventually show that the topic similarity of sym-KL divergence could construct a topic tree more accurately and dig the potential semantic topic characteristics of time and space more deeply in the text stream compared with other flat topic structure models.
2015 ◽
Vol 733
◽
pp. 178-181
Keyword(s):
2013 ◽
Vol 734-737
◽
pp. 488-492
Keyword(s):
1993 ◽
Vol 51
◽
pp. 674-675
Keyword(s):
1989 ◽
Vol 49
(2)
◽
pp. 399-416
◽