Review of graph neural network in text classification
Text classification is one of the fundamental problems in Natural Language Processing
(NLP). Several research studies have used deep learning approaches such as Convolution …
(NLP). Several research studies have used deep learning approaches such as Convolution …
A multi-level approach for hierarchical Ticket Classification
The automatic categorization of support tickets is a fundamental tool for modern businesses.
Such requests are most commonly composed of concise textual descriptions that are noisy …
Such requests are most commonly composed of concise textual descriptions that are noisy …
Threat hunting system for protecting critical infrastructures using a machine learning approach
M Aragonés Lozano, I Pérez Llopis, M Esteve Domingo - Mathematics, 2023 - mdpi.com
Cyberattacks are increasing in number and diversity in nature daily, and the tendency for
them is to escalate dramatically in the forseeable future, with critical infrastructures (CI) …
them is to escalate dramatically in the forseeable future, with critical infrastructures (CI) …
Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage
Objective The manual recording of electronic health records (EHRs) by clinicians in the
emergency department (ED) is time-consuming and challenging. In light of recent …
emergency department (ED) is time-consuming and challenging. In light of recent …
NLP tool for extracting relevant information from criminal reports or fakes/propaganda content
The goal of paper is to develop a natural language processing system to extract relevant
information from criminal reports or fake/propaganda. A detailed description of the …
information from criminal reports or fake/propaganda. A detailed description of the …
The Impact of Data Preparation and Model Complexity on the Natural Language Classification of Chinese News Headlines
T Wagner, D Guhl, B Langhals - Algorithms, 2024 - mdpi.com
Given the emergence of China as a political and economic power in the 21st century, there
is increased interest in analyzing Chinese news articles to better understand develo** …
is increased interest in analyzing Chinese news articles to better understand develo** …
BERT-DXLMA: Enhanced representation learning and generalization model for english text classification
X Mao, Z Li, Q Li, S Zhang - Neurocomputing, 2025 - Elsevier
In recent years, the rapid development of artificial intelligence technology has significantly
improved the performance of BERT-based deep learning models in text classification tasks …
improved the performance of BERT-based deep learning models in text classification tasks …
Intelligent system for film script formation based on artbook text and Big Data analysis
This article describes the development of the concept of the system, which will automatically
generate scripts for films based on the text of the artbook. The object of research is the …
generate scripts for films based on the text of the artbook. The object of research is the …
Leveraging metaheuristic optimization to enhance insider threat detection through email content natural language processing
Ensuring operational integrity in the ever-evolving internet landscape requires robust
cybersecurity measures to combat emerging security compromise vectors. Despite …
cybersecurity measures to combat emerging security compromise vectors. Despite …
An n-gram-based bert model for sentiment classification using movie reviews
An abundance of product reviews and opinions is being produced every day across the
internet and other media. Sentiment analysis analyzes those data and classifies them as …
internet and other media. Sentiment analysis analyzes those data and classifies them as …