Automatic text summarization: A comprehensive survey
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 …
the huge amount of textual content that grows exponentially on the Internet and the various …
A survey on review summarization and sentiment classification
N Komwad, P Tiwari, B Praveen… - … and Information Systems, 2022 - Springer
With increasingly more people using online services, purchasing products, and reviewing
them, it becomes crucial to have a system that can provide a crisp representation of …
them, it becomes crucial to have a system that can provide a crisp representation of …
Extractive text summarization using neural networks
A Sinha, A Yadav, A Gahlot - arxiv preprint arxiv:1802.10137, 2018 - arxiv.org
Text Summarization has been an extensively studied problem. Traditional approaches to
text summarization rely heavily on feature engineering. In contrast to this, we propose a fully …
text summarization rely heavily on feature engineering. In contrast to this, we propose a fully …
Evolutionary algorithms for extractive automatic text summarization
YK Meena, D Gopalani - Procedia Computer Science, 2015 - Elsevier
Due to the exponential growth of documents on internet, users want all the relevant data at
one place without any hassle. This led to the growth of Automatic Text Summarization. For …
one place without any hassle. This led to the growth of Automatic Text Summarization. For …
A data-driven latent semantic analysis for automatic text summarization using lda topic modelling
With the advent and popularity of big data mining and huge text analysis in modern times,
automated text summarization became prominent for extracting and retrieving important …
automated text summarization became prominent for extracting and retrieving important …
[PDF][PDF] Extractive text summarization for indonesian news article using ant system algorithm
AS Girsang, FJ Amadeus - Journal of Advances in Information Technology, 2023 - jait.us
The act of simplifying a text from its original source is known as text summarization. Instead
of capturing the substance of the original content, an effective summary should be able to …
of capturing the substance of the original content, an effective summary should be able to …
Extractive Text Summarization Using Recent Approaches: A Survey.
In this era of growing digital media, the volume of text data increases day by day from
various sources and may contain entire documents, books, articles, etc. This amount of text …
various sources and may contain entire documents, books, articles, etc. This amount of text …
[PDF][PDF] Indonesian News Articles Summarization Using Genetic Algorithm.
N Khotimah, AS Girsang - Engineering Letters, 2022 - engineeringletters.com
Extractive text summarization consists of selecting the most important sentences from the
original text. By summarizing the contents of the article, readers might be able to understand …
original text. By summarizing the contents of the article, readers might be able to understand …
Text summarization using sentiment analysis for DUC data
N Yadav, N Chatterjee - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Text Summarization is a way of determining the key concepts that are covered in the given
text under consideration. Various techniques have been presented in literature and many …
text under consideration. Various techniques have been presented in literature and many …
[HTML][HTML] Reaching for upper bound ROUGE score of extractive summarization methods
The extractive text summarization (ETS) method for finding the salient information from a text
automatically uses the exact sentences from the source text. In this article, we answer the …
automatically uses the exact sentences from the source text. In this article, we answer the …