Vol.3 No.2 (April 2013)
Automatic Summarization Algorithm Based on the Combined Features of LDA
Automatic summarization can help people to get the main information from the massive amounts of information more quickly and efficiently. In this paper, a document summarization algorithm based on LDA is proposed. Firstly, we calculate the similarity of topics probability distribution between document and sentence as a new feature. Then, we also considered traditional summarization features such as position of sentence in a text and topic similarity. Finally, summary are generated by selecting the sentences with highest scores. Experimental results show that the performance of our method outperforms the traditional methods when the combined features join into the LDA Model.
吴登能 , 袁贞明 , 李星星 (2013) 基于组合特征LDA的文档自动摘要算法。 计算机科学与应用， 3， 145-148. doi: 10.12677/CSA.2013.32025
Copyright © 2015 Hans Publishers Inc. All rights reserved.