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 …

Every day, a massive amount of text, audio, and video data is published on websites all over
the world. This valuable data can be used to gauge global trends and public perceptions …

Social media has become the most popular platform for free speech. This freedom of speech
has given opportunities to the oppressed to raise their voice against injustices, but on the …

Incident investigation reports provide information on defects related to the system safety and
indications for improvements. Currently, the analysis of these reports relies heavily on …

The extractive summarization approach involves selecting the source document's salient
sentences to build a summary. One of the most important aspects of extractive …

Text summarization is the process of shortening the text so that it conveys the key points.
Several text summarization methods and benchmark corpora are available for languages …

In this paper, we survey text summarization (TS) datasets in Indian languages (ILs), which
are also low-resource languages (LRLs). We seek to answer one primary question—is the …

Meeting summarization has become crucial as the world is gradually shifting towards remote
work. Nowadays, automation of meeting summary generation is really needed in order to …

In the digital age, social media has emerged as a significant platform, generating a vast
amount of raw data daily. This data reflects the opinions of individuals from diverse …

With the advent of Deep Learning based Artificial Neural Networks models, Natural
Language Processing (NLP) has witnessed significant improvements in textual data …