SMATS: Single and Multi Automatic Text Summarization

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.