Sub-topic Partition Based on S2AFCM
Wang Si-cu · Computer & Network · 2013
In order to generate high quality automatic summarization, the optimal sub-topic partition is very important. Based on the introduction of existing sub-topic partition method, the sub-topic partition based on S2AFCM method is proposed. Firstly, the document is quantified in paragraphs, and then the adaptive fuzzy clustering algorithm is performed for each paragraph vector using S2AFCM to obtain the membership matrix, so as to get the optimal sub-topic partition of document. The experimental results show that this method can improve the recognition rate of sub-topic partition effectively.