【摘要】 随着信息技术的发展,互联网上的文本信息呈爆炸式增长,文本自动摘要技术成为目前研究的热点。文章提出一种基于向量空间模型的自动摘要冗余处理方法,该方法首先根据统计信息进行粗摘要提取,然后利用向量空间模型对粗摘要进行冗余处理;实验结果表明,该方法提取的摘要不受领域知识限制,有效去除冗余,能更好地反映文档内容。更多还原

【Abstract】 With the rapid development of information technology,the information on Internet has been greatly increased.The automatic text summarization technology is focused on at present as a hot issue.This paper puts forward a new method of automatic text summarization based on vector space model,which automatically processes prolixity.This approach automatically categorizes the statistics and sorts them out,and then by applying vector space model,further processes the prolixity of the text summary.According to the cogent experimental results,the very application of automatic text summarization is not restrained by the different avenues of inquiry,on the contrary,it can effectively delete out the prolixity and better demonstrate the textual contents.更多还原