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  • 标题:News Aggregator and Efficient Summarization System
  • 本地全文:下载
  • 作者:Alaa Mohamed ; Marwan Ibrahim ; Mayar Yasser
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2020
  • 卷号:11
  • 期号:6
  • DOI:10.14569/IJACSA.2020.0110677
  • 出版社:Science and Information Society (SAI)
  • 摘要:News Aggregator is simply an online software which collects new stories and events around the world from various sources all in one place. News aggregator plays a very important role in reducing time consumption, as all of the news that would be explored through more than one website will be placed only in a single location. Also, summarizing this aggregated content absolutely will save reader’s time. A proposed technique used called the TextRank algorithm that showed promising results for summarization. This paper presents the main goal of this project which is developing a news aggregator able to aggregate relevant articles of a certain input keyword or key-phrase. Summarizing the relevant articles after enhancing the text to give the reader understandable and efficient summary.
  • 关键词:News aggregator; text summarization; text enhance-ment; textRank algorithm
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