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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Vydáno v:	IEEE access Ročník 10; s. 1
Hlavní autoři:	Yadav, Divakar, Katna, Rishabh, Yadav, Arun Kumar, Morato, Jorge
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!