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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
Title: Wiki summary: a consensus approach for keyword extraction from multiple summarization algorithms
Authors: Chowdhury, Ankita
Advisors: Basu, Subhadip
Keywords: Extractive summarization;Single-document source;TextRank;Wikipedia
Issue Date: 2023
Publisher: Jadavpur University, Kolkata, West Bengal
Abstract: Modern 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 to
URI: http://20.198.91.3:8080/jspui/handle/123456789/9089
Appears in Collections:Dissertations

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