Dynamic topic model amending method based on feedback stories
Aihua Zhao · Journal of Computer Applications · 2012
In topic tracking,the initial topic related stories are few and topic evolves dynamically,which leads to the topic model could not express topic accurately.Concerning this problem,it was proposed to build amended topic model by feedback stories collected by dynamic threshold,to amend topic model dynamically.And in combination of the feature that the named entity could differentiate different topics more effectively,it was suggested to increase the weight of named entity when amending topic model,to express a topic better.The experimental results indicate that,this method can solve the topic shifting problem effectively,and the miss tracking rate and fault tracking rate decrease a lot in topic tracking.