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- W4387041782 abstract "Recently, there is a massive increase in the volume of text information from different kinds of resources. The volume of text is a valuable resource of information and knowledge that must be efficiently summarized and made accessible. Document summarization will provide a tool for rapidly understanding text document collections and has numerous real-time applications. The two efficient approaches of semantic similarity and clustering are used to provide an effective overview of large text sets. Summarizing a large amount of text is time-consuming and challenging, specifically, while the computation of semantic similarity is considered in process of summarization. Summarization of text which is collected includes intensive processing of text and computations to produce the summary. In this study, the various summarization processes and the shortcomings and effectiveness of the several methods are also described." @default.
- W4387041782 created "2023-09-27" @default.
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- W4387041782 date "2023-01-01" @default.
- W4387041782 modified "2023-09-27" @default.
- W4387041782 title "Review on Recent Advances in Text Summarization Techniques" @default.
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- W4387041782 doi "https://doi.org/10.1007/978-981-99-2742-5_70" @default.
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