Study on Topic Partition Based on Genetic Algorithm
Chen Qun-xiu · Jisuanji gongcheng · 2006
This paper establishes VSM for the whole article based on paragraph,then proposes an idea for multi-topic text partitioning based on GA.It solves the problem of chapter structural analysis in multi-topic article and makes the abstract of the multi-topic to have more general content and more balanced structure.The experiment on close test shows that the precision of topic partition for multi-topic text and single-topic text reaches 89.3% and 94.6% respectively.