Date of Publication :3rd October 2024

Abstract:In the age of information overload, the need for accessible and concise content summarization from lengthy stories and articles is more critical than ever. This study focuses on the application of the t5 model in the realm of text summarization, building upon the foundation laid by previous research efforts. Recognizing that readers sometimes struggle to comprehend lengthy tales, th is effort focuses on the problem of reducing and summarizing stories and large articles. The t5 model, a powerful Natural Language Processing tool, is at the heart of our approach. T5 offers the potential to distill complex narratives into coherent and digestible summaries. To evaluate the effectiveness of T5 in this context, we employ well-established metrics, including ROUGE scores. Our study adds to the efforts being made to improve text summary methods, particularly for long articles and stories. By harnessing the capabilities of the t5 model, we aim to enhance the accessibility and comprehensibility of narrative content, thus addressing the pressing need for efficient information consumption in the digital age.

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