Today's world is getting flooded with an increasing amount of articles and links to choose
from. As this data grows, the importance of semantic density does as well. How can one say …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

In current scenario, participants in online meetings face challenges in effectively capturing
the vast amount of information exchanged during the sessions. Manual note-taking or …

The increasing volume of text data has made it difficult for individuals to keep up with the
information. Text summarization and classification are two important natural language …

Learning skills play a very important role to build a student's foundation for a language. It
becomes difficult for students to analyze the important information available in an …

In this paper, we investigate an encoder–decoder-based on the bi-directional transformers
with a self-attention function to generate abstractive text summaries for an input document. In …

Text summarization is an indirect way of contracting the given content into more simple
words while preserving its information and importance. It is hard for individuals to sum up …

A potent pre-trained language model called “(Bidirectional Encoder Representations from
Transformers)” is frequently utilized for a variety of natural language processing (NLP) …

ABSTRACT NLP is a way for computers to analyze, understand, and derive meaning from
human language in a smart and useful way. By utilizing NLP, developers can organize and …