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- W4210439599 abstract "Electronic documents contain tremendous amounts of information. A text summary system is needed to save time and rapidly know about the document, because the manual text summary requires time, effort, and costs, which automatically creates a summary from the source document. Hindi is India’s most spoken language. A Hindi document summarization system does not exist. The method of summary generation is either extractive or abstractive. The extractive text summary method extracts the most suitable phrases from input documents to be incorporated into the summary whereas the abstractive is the human-like summary method. To select a summary sentence, it must be the highest score. In this paper, we apply different mathematical combinations using nine textual features to score a sentence. We analyzed the results on 2000 documents taken from the Forum of Information Retrieval Evaluation (FIRE)1 conference using ROUGE evaluation matrices at the retention rate of 40%." @default.
- W4210439599 created "2022-02-08" @default.
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- W4210439599 date "2022-02-02" @default.
- W4210439599 modified "2023-10-07" @default.
- W4210439599 title "A statistically based sentence scoring method using mathematical combination for extractive Hindi text summarization" @default.
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- W4210439599 doi "https://doi.org/10.1080/09720502.2021.2015096" @default.
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