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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9089
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dc.contributor.advisorBasu, Subhadip-
dc.contributor.authorChowdhury, Ankita-
dc.date.accessioned2025-10-30T11:06:26Z-
dc.date.available2025-10-30T11:06:26Z-
dc.date.issued2023-
dc.date.submitted2023-
dc.identifier.otherDC3844-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9089-
dc.description.abstractModern times have seen a massive increase in the amount of text data coming from various sources. The fast expansion of the Internet has made it increasingly challenging to access vast volumes of information eficiently. This lengthy article is a valuable source of knowledge and information that must be skillfully summarized in order to draw out the intriguing details that are concealed inside. We require ef icient and powerful technologies in order to manage the enormous amount of information.The primary goal of this effort is to condense a given text into fewer sentences while maintaining the key themes of the original text. With minimal context and information loss, text summarization is a potent text mining technique for extracting the useful information from a document. By removing the less important information, it shortens the language and encourages the user toen_US
dc.format.extent159 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectExtractive summarizationen_US
dc.subjectSingle-document sourceen_US
dc.subjectTextRanken_US
dc.subjectWikipediaen_US
dc.titleWiki summary: a consensus approach for keyword extraction from multiple summarization algorithmsen_US
dc.typeTexten_US
dc.departmentJadavpur University, Dept. of Computer Technologyen_US
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