Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring

The most common traditional approaches to summarizing large texts while retaining their importance are TF-IDF and TextRank. However, these methods often fail to retain narrative coherence and accuracy. This study’s improved summarization methodology overcomes these limitations by combining th...

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Hlavní autoři:	Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Extractive text summarization sentences scoring weighted features BBC-news dataset rouge metric BERTScore metric
On-line přístup:	https://ieeexplore.ieee.org/document/10838534/
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