[HTML][HTML] Review of automatic text summarization techniques & methods

AP Widyassari, S Rustad, GF Shidik… - Journal of King Saud …, 2022 - Elsevier
Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

State-of-the-art approach to extractive text summarization: a comprehensive review

AK Yadav, Ranvijay, RS Yadav, AK Maurya - Multimedia Tools and …, 2023 - Springer
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 …

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 …

Adaptive ontology-based IoT resource provisioning in computing systems

A Tiwari, R Garg - International Journal on Semantic Web and …, 2022 - igi-global.com
The eagle expresses of cloud computing plays a pivotal role in the development of
technology. The aim is to solve in such a way that it will provide an optimized solution. The …

Contextual hypergraph networks for enhanced extractive summarization: Introducing multi-element contextual hypergraph extractive summarizer (mches)

A Onan, H Alhumyani - Applied Sciences, 2024 - mdpi.com
Extractive summarization, a pivotal task in natural language processing, aims to distill
essential content from lengthy documents efficiently. Traditional methods often struggle with …

[HTML][HTML] DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding

A Onan, HA Alhumyani - Journal of King Saud University-Computer and …, 2024 - Elsevier
In the age of information overload, the ability to distill essential content from extensive texts
is invaluable. DeepExtract introduces an advanced framework for extractive summarization …

Feature based cluster ranking approach for single document summarization

A Sharaff, M Jain, G Modugula - International Journal of Information …, 2022 - Springer
Text Summarization is a process of creating gist of large set of documents. It creates a
summary which depicts the overall information contained in large text documents in a short …

Synoextractor: a novel pipeline for Arabic synonym extraction using Word2Vec word embeddings

RN Al-Matham, HS Al-Khalifa - Complexity, 2021 - Wiley Online Library
Automatic synonym extraction plays an important role in many natural language processing
systems, such as those involving information retrieval and question answering. Recently …

Emerging ontology formulation of optimized internet of things (IOT) services with cloud computing

A Tiwari, RM Sharma, R Garg - Soft Computing: Theories and Applications …, 2020 - Springer
The eagle expresses of cloud computing plays a pivotal role in the development of
technology. The technology momentum is gaining cloud system environment across the …

Movie review summarization and sentiment analysis using rapidminer

AF Alsaqer, S Sasi - … Conference on Networks & Advances in …, 2017 - ieeexplore.ieee.org
Automatic text summarization is one of the important challenges of natural language tasks. It
will help the readers save time to get the important information from a lengthy document …