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[HTML][HTML] Review of automatic text summarization techniques & methods
Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …
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
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 …
publication of articles, books, magazines, and newspapers, lots of data are generated every …
A survey of automatic text summarization: Progress, process and challenges
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 …
increased exponentially. This text volume is a precious source of information and knowledge …
Adaptive ontology-based IoT resource provisioning in computing systems
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 …
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)
Extractive summarization, a pivotal task in natural language processing, aims to distill
essential content from lengthy documents efficiently. Traditional methods often struggle with …
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
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 …
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 …
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
Automatic synonym extraction plays an important role in many natural language processing
systems, such as those involving information retrieval and question answering. Recently …
systems, such as those involving information retrieval and question answering. Recently …
Emerging ontology formulation of optimized internet of things (IOT) services with cloud computing
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 …
technology. The technology momentum is gaining cloud system environment across the …
Movie review summarization and sentiment analysis using rapidminer
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 …
will help the readers save time to get the important information from a lengthy document …