自动汇总
计算机科学
多文档摘要
情报检索
多样性(控制论)
任务(项目管理)
文本图
自然语言处理
人工智能
经济
管理
作者
Mehdi Allahyari,Seyedamin Pouriyeh,Mehdi Assefi,Saeid Safaei,Elizabeth D. Trippe,Juan B. Gutierrez,Krys J. Kochut
出处
期刊:International Journal of Advanced Computer Science and Applications
[The Science and Information Organization]
日期:2017-01-01
卷期号:8 (10)
被引量:217
标识
DOI:10.14569/ijacsa.2017.081052
摘要
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. Text summarization is the task of shortening a text document into a condensed version keeping all the important information and content of the original document. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.
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