With the rapid growth of social media platforms, digitization of official records, and digital
publication of articles, books, magazines, and newspapers, lots of data are generated every …

Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …

The growing demand for access to higher education has seen institutions turn increasingly
towards large classes. Implementing active, problem-based learning in this context can be …

Day by day, the amount of online and offline text data is growing tremendously from various
sources like legal documents, medical documents, news articles, etc. Manual text …

In today's digital world, there is an enormous and exponential growth in the amount of
knowledge available online. When seeking precise and pertinent information, it is very …

Text detection from scenic photographs with text is a difficult issue that has recently attracted
a lot of attention. There are two main elements in scenery photographs (1) Recognizing text …

Text visualisation is an essential analytical task in many applications. Researchers from
such fields can utilise the graphical output but need tools for its generation due to lack of …

This paper explores the complex field of text summarization in Natural Language Processing
(NLP), with particular attention to the development and importance of semantic …

Research on graph-based automatic text summarization for Arabic, the official language of
26 nations with over 200 million speakers, as well as other prevalent languages, has …

Nowadays, there is an abundance of information available from both online and offline
sources. For a single topic, we can get more than hundreds of sources containing a wealth …