The explosion of online and offline data has changed how we gather, evaluate, and
understand data. It is frequently difficult and time-consuming to comprehend large text …

Automatic text summarization schemes are indeed helpful for glancing briefly at the text
document. With this motivation, we introduce here a two-stage hybrid model for text …

In the Legal AI field, the summarization of legal documents is very challenging. Since the
Indian case documents are much noisier and poorly organized, the summarization of legal …

This study proposes a novel semantic graph embedding-based abstractive text
summarization technique for the Arabic language, namely SemG-TS. SemG-TS employs a …

The act of simplifying a text from its original source is known as text summarization. Instead
of capturing the substance of the original content, an effective summary should be able to …

AI-generated text summarization (AI-GTS) is now a popular topic in applied computer
science education. It has proven helpful in various sectors, but its benefits and risks in …

Document summarization is an important task in natural language processing that helps
deal with the problem of information overload occurring due to the existence of redundant …

The Internet is a house of indeterminate and ever-growing resource of information. Text
Summarization has become a critical requirement for effectively managing the clogged data …

Text mining techniques are used for trend prediction using keyword analysis; however,
these processes result in the formation of relevant and irrelevant keywords from the bunch of …

Nowadays, opinion texts are quickly published on websites and social networks by various
users in the form of short texts and also in high volumes and various fields. Because these …