Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

Summarization, is to reduce the size of the document while preserving the meaning, is one
of the most researched areas among the Natural Language Processing (NLP) community …

Imagining things without mixed emotions is next to impossible in today's scenario. Whether it
is news or any online movement started on social media applications. One of the social …

The quantity of information on the internet is massively increasing and gigantic volume of
data with numerous compositions accessible openly online become more widespread. It is …

The quantity of textual data on the internet is growing exponentially, and it is very tough task
to obtain important and relevant information from it. An efficient and effective method is …

Text summarization is the process of reducing text size while preserving its key points.
Thanks to this process, the reading time of the text is also reduced which contributes to …

In the Web 3.0 platforms, enormous amount of information is shared whereby individuals
express their thoughts and opinions and learn from others' experiences. Many e-commerce …

The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …

Abstractive text summarization is a task in natural language processing that automatically
generates the summary from the source document in a human-written form with minimal loss …

With introduction of deep learning techniques their has been an increase in intelligent
classification of text in many applications. Advances in automatic text summarization using …