Feature Based Automatic Text Summarization Methods: A Comprehensive State-of-the-Art Survey

With the advent of the World Wide Web, there are numerous online platforms that generate huge amounts of textual material, including social networks, online blogs, magazines, etc. This textual content contains useful information that can be used to advance humanity. Text summarization has been a sig...

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Vydané v:	IEEE access Ročník 10; s. 1
Hlavní autori:	Yadav, Divakar, Katna, Rishabh, Yadav, Arun Kumar, Morato, Jorge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Abstractive summarization Computer science cosine-similarity Data mining Deep learning Documents extractive summarization graph-based algorithm Measurement Natural language processing Neural networks Social networks Web sites
ISSN:	2169-3536, 2169-3536
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