Text Normalization and Summarization Using Advanced Natural Language Processing

G Khekare, C Masudi, YK Chukka… - … on Integrated Circuits …, 2024 - ieeexplore.ieee.org
Large quantities of data have been generated through various applications such as social
media, online platforms, etc., and analyzing these data requires a significant amount of time …

Correlated Scenario Generation Using Generative Models

M Bilal - 2022 - search.proquest.com
With the continued increase in the amount of renewable generation in the form of distributed
energy resources, reliability planning has progressively become a more challenging task for …

Nesterov-accelerated Adaptive Moment Estimation NADAM-LSTM based text summarization 1

P Radhakrishnan, G Senthilkumar - Journal of Intelligent & Fuzzy … - content.iospress.com
Automatic text summarization is the task of creating concise and fluent summaries without
human intervention while preserving the meaning of the original text document. To increase …

Review of Text Summarization Algorithm Using Different Deep Recurrent Networks

G Ashok, A Rahiman V - … College Kozhikode, India, 10th to 12th …, 2023 - papers.ssrn.com
This paper reviews the recent developments in the area of text summarization using a
recurrent network structure such as Long Short Term Memory (LSTM) and Gated Recurrent …

[PDF][PDF] Tangent Search Long Short Term Memory with Aadaptive Reinforcement Transient Learning based Extractive and Abstractive Document Summarization

RP Rajan, DV Jose, R Gurumoorthy - scholar.archive.org
Text summarization is the process of creating a shorter version of a longer text document
while retaining its most important information. There have been a number of methods …