Automatic text summarization: A comprehensive survey

WS El-Kassas, CR Salama, AA Rafea… - Expert systems with …, 2021 - Elsevier
Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Automatic text summarization methods: A comprehensive review

G Sharma, D Sharma - SN Computer Science, 2022 - Springer
Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …

A survey of automatic text summarization: Progress, process and challenges

MF Mridha, AA Lima, K Nur, SC Das, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Deep learning based abstractive text summarization: approaches, datasets, evaluation measures, and challenges

D Suleiman, A Awajan - Mathematical problems in engineering, 2020 - Wiley Online Library
In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling

N Alami, M Meknassi, N En-nahnahi… - Expert Systems with …, 2021 - Elsevier
Humans must easily handle the vast amounts of data being generated by the revolution of
information technology. Thus, Automatic Text summarization has been applied to various …

Text summarization: a brief review

L Abualigah, MQ Bashabsheh, H Alabool… - … in NLP: the case of Arabic …, 2020 - Springer
Text Summarization is the process of creating a summary of a certain document that
contains the most important information of the original one, the purpose of it is to get a …

An extractive text summarization approach using tagged-LDA based topic modeling

R Rani, DK Lobiyal - Multimedia tools and applications, 2021 - Springer
Automatic text summarization is an exertion of contriving the abridged form of a text
document covering salient knowledge. Numerous statistical, linguistic, rule-based, and …

Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning

N Alami, M Meknassi, N En-Nahnahi - Expert systems with applications, 2019 - Elsevier
The vast amounts of data being collected and analyzed have led to invaluable source of
information, which needs to be easily handled by humans. Automatic Text Summarization …

[HTML][HTML] An efficient single document Arabic text summarization using a combination of statistical and semantic features

A Qaroush, IA Farha, W Ghanem, M Washaha… - Journal of King Saud …, 2021 - Elsevier
The exponential growth of online textual data triggered the crucial need for an effective and
powerful tool that automatically provides the desired content in a summarized form while …

An abstractive text summarization technique using transformer model with self-attention mechanism

S Kumar, A Solanki - Neural Computing and Applications, 2023 - Springer
Creating a summarized version of a text document that still conveys precise meaning is an
incredibly complex endeavor in natural language processing (NLP). Abstract text …