Construction of a thinking model for Literary Writing based on Deep Spatio-Temporal Residual Convolutional Neural Networks

X Ren - Multimedia Tools and Applications, 2024 - Springer
A system's capacity to distinguish between human-written input and Literary Writing (LW) is
known as LW. LW entered by scanning is considered offline, but LW joined by a pen tip is …

A Novel End-to-End Framework for Story Generation Using Deep Neural Networks

A Sar, P Joshi, S Sati, R Choudhary, S Aich… - Proceedings of the …, 2024 - dl.acm.org
This paper introduces a novel end-to-end framework for story generation utilising deep
neural networks. Generating text belongs to a vital part of Natural Language Processing …

Alyce: An Artificial Intelligence Fine-Tuned Screenplay Writer

KA Eldhose, C Jose, S Siddharth, SS Geejo… - … : Proceedings of ICIDCA …, 2021 - Springer
A good screenplay is one of the most important aspects of a great movie. Viewers should be
able to relate and become a part of the emotional scenes in a movie. For a person to be able …

Text mining life cycle for a spatial reading of Viet Thanh Nguyen's The Refugees (2017)

EF Malik, P Keikhosrokiani… - … International Congress of …, 2021 - ieeexplore.ieee.org
Textual analysis is traditionally used by literary critics as a central methodology to interpret
creative writings, however this method is significantly affected by human-error, which cause …

Siamese based Neural Network for Offline Writer Identification on word level data

V Kumar, S Sundaram - arXiv preprint arXiv:2211.14443, 2022 - arxiv.org
Handwriting recognition is one of the desirable attributes of document comprehension and
analysis. It is concerned with the documents writing style and characteristics that distinguish …

Unveiling the Depths: A Comprehensive Analysis of Natural Language Processing and Generative Adversarial Neural Networks for Text Generation Models in Deep …

R Agarwal, H Agarwal, S Pandey - 2023 1st International …, 2023 - ieeexplore.ieee.org
Deep Learning comes under Machine Learning that accomplishes more power and
flexibility by learning to present different concepts or relations of real world to simpler …

Automated Content Generation System Using Neural Text Generation

R Kabra, R Solsi, S Jaiswal, S Sankhe… - Data Intelligence and …, 2022 - Springer
Most of the time people find content writing to be difficult, despite the fact that it appears to be
easy. Many struggle with language, particularly when writing letters, documents, and other …

Deep learning-based short story generation for an image using the encoder-decoder structure

K Min, M Dang, H Moon - IEEE Access, 2021 - ieeexplore.ieee.org
Research that applies artificial intelligence (AI) to generate the captions for an image has
been extensively studied in recent years. However, the length of these captions was short …

A novel recurrent and convolutional neural network technique for generating handwriting from voice

A Dua, A Bhatia, B Kalra… - 2021 Third International …, 2021 - ieeexplore.ieee.org
This paper presents a way for generating online handwriting using voice. To build this tool,
two broad steps are required: Voice Recognition using Google Speech-to-text API and …

A design of movie script generation based on natural language processing by optimized ensemble deep learning with heuristic algorithm

R Dharaniya, J Indumathi, V Kaliraj - Data & Knowledge Engineering, 2023 - Elsevier
Movies offer users a huge range of visual information like attractive stories. The traditional
approaches have demonstrated that knowing about movie stories via only visual information …