Exploring the landscape of automatic text summarization: a comprehensive survey
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 …
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 …
communication with tremendous opportunities. Yet, despite its touted benefits, contemporary …
[PDF][PDF] A review on text summarization techniques
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
computing technology has increased, resulting in huge volumes of data. Consequently, the …