Exploring the landscape of automatic text summarization: a comprehensive survey

B Khan, ZA Shah, M Usman, I Khan, B Niazi - IEEE Access, 2023 - ieeexplore.ieee.org
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

Smart generation system of personalized advertising copy and its application to advertising practice and research

S Deng, CW Tan, W Wang, Y Pan - Journal of Advertising, 2019 - Taylor & Francis
Artificial intelligence in programmatic advertising constitutes fertile grounds for marketing
communication with tremendous opportunities. Yet, despite its touted benefits, contemporary …

[PDF][PDF] A review on text summarization techniques

P Verma, A Verma - Journal of scientific research, 2020 - academia.edu
In recent years, an enormous amount of text data from diversified sources has been
emerged day-by-day. This huge amount of data carries essential information and knowledge …

A text summarization method based on fuzzy rules and applicable to automated assessment

FB Goularte, SM Nassar, R Fileto, H Saggion - Expert Systems with …, 2019 - Elsevier
In the last two decades, the text summarization task has gained much importance because
of the large amount of online data, and its potential to extract useful information and …

An approach for extractive text summarization using fuzzy evolutionary and clustering algorithms

P Verma, A Verma, S Pal - Applied Soft Computing, 2022 - Elsevier
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 …

[HTML][HTML] Multi-document extractive text summarization based on firefly algorithm

M Tomer, M Kumar - Journal of King Saud University-Computer and …, 2022 - Elsevier
Extracting relevant information from a large amount of data is a challenging task. Automatic
text summarization is a potential solution for obtaining this information. In this paper, a …

[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 …

Extractive multi-document Arabic text summarization using evolutionary multi-objective optimization with K-medoid clustering

R Alqaisi, W Ghanem, A Qaroush - IEEE Access, 2020 - ieeexplore.ieee.org
The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …

MCRMR: Maximum coverage and relevancy with minimal redundancy based multi-document summarization

P Verma, H Om - Expert Systems with Applications, 2019 - Elsevier
In this paper, we propose a novel extraction based method for multi-document
summarization that covers three important features of a good summary: coverage, non …

Extractive single document summarization using multi-objective modified cat swarm optimization approach: ESDS-MCSO

D Debnath, R Das, P Pakray - Neural Computing and Applications, 2021 - Springer
As the world is progressing faster, to compete with the demand, the need for proficient
computing technology has increased, resulting in huge volumes of data. Consequently, the …