Automatic Text Summarization for Extracting Key
نویسندگان
چکیده
منابع مشابه
Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization
Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...
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Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...
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The headline of this paper names a research area originating from the late 50’s but not loosing its popularity until the present time. Moreover, one of the most relevant today’s problems caused by the rapid growth of the Web, which is called information overloading, has increased the necessity of more sophisticated and powerful summarizers. This paper shortly introduces a taxonomy of summarizat...
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Automatic summarization is the process of reducing a text Document with a computer program in order to create a summary that retains the most important points of the original document. As The problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. It is very difficult for human beings to manually summarize large documents...
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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2021
ISSN: 2321-9653
DOI: 10.22214/ijraset.2021.33966