Applying relevance terms on graph-based multiple documents summarization

• Main Authors: Chia-Pei Chu, 朱家霈
• Other Authors: Shih-Chieh Chou
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/t5q24x

碩士 === 國立中央大學 === 資訊管理學系 === 105 === Internet develops quickly and makes information spread worldwide. However, update of information in minutes makes people spend much time to read news. Therefore, the purpose of this research is to generate an extractive-based summary for people to have a concept of news. We attempt to apply association rule for extracting relevance terms of sentences from documents and use a graph-based method for calculating the scores of relevance terms and sentences, and then we select the sentence which has higher score to produce summarization of multi-documents. The results of our experiments show that the ROUGE value of applying relevance terms on graph-based multiple documents summarization method could be effective in summarization.