The research project on “Deep Learning-Based Text Summarization System using T5 small
and gTTS” introduces a method to automatically extract and understand information from …

While the availability of electronic documents increases exponentially with advancing
technology, the time spent to process this wealth of resourceful information decreases …

Text summarization is an important task in natural language processing that aims to
condense large bodies of text into short but coherent summaries. This study provides an …

This survey presents an extensive exploration of automated text document summarization
tools, focusing on the diverse approaches and emerging trends in this field. With the …

In recent years, a huge volume of textual data has been released through social media and
various other domains that can be extracted and analyzed to reproduce useful information …

In a wide range of domains, Deep Learning (DL) approaches have achieved cutting-edge
outcomes. They include several processing layers that allow them to understand the …

In the era of information abundance, efficient summarization tools are crucial. This paper
explores document summarization, focusing on the “lamini flan T5” model by Google …

With the advent of the World Wide Web, there are numerous online platforms that generate
huge amounts of textual material, including social networks, online blogs, magazines, etc …

The prevalence of social media platforms has resulted in an overflow of concise textual
content, thereby posing challenges in the accurate summarization of informal and noisy …

The volume of text data has grown drastically since the internet's inception, which has had a
profound impact on how data is gathered, analyzed, and understood. To address this issues …