SMATS: Single and Multi Automatic Text Summarization
نویسندگان
چکیده
In today’s world, the rapid growth of textual data on internet sites & online resources makes it challenging for human being to assimilate essential information. To handle such issues, text summarization (TS) plays an important role. Through TS process, a shorter version original content is generated preserve relevant This study suggests quantitative assessment models single and multi-document based sentence scoring method. Experimentation has been carried out DUC datasets. A detailed comparative analysis reported with respect performance algorithms various metrics as Recall Oriented-Understudy Gisting Evaluation (ROUGE), Range, Co-efficient Variation (CV) Readability score.
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ژورنال
عنوان ژورنال: Karbala international journal of modern science
سال: 2023
ISSN: ['2405-609X', '2405-6103']
DOI: https://doi.org/10.33640/2405-609x.3281