A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …
global affairs. However, fake news appears and spreads on social media daily. This …
[HTML][HTML] Supervised and unsupervised learning models for pharmaceutical drug rating and classification using consumer generated reviews
C Allenbrand - Healthcare Analytics, 2024 - Elsevier
Optimization of medication therapy depends on maximizing benefits and minimizing side
effects of medications. This research showed how a joint approach using text mining, natural …
effects of medications. This research showed how a joint approach using text mining, natural …
Comparing the Performance of Machine Learning Algorithms in the Automatic Classification of Psychotherapeutic Interactions in Avatar Therapy
(1) Background: Avatar Therapy (AT) is currently being studied to help patients suffering
from treatment-resistant schizophrenia. Facilitating annotations of immersive verbatims in AT …
from treatment-resistant schizophrenia. Facilitating annotations of immersive verbatims in AT …
[HTML][HTML] Exploring the association of metal mixture in blood to the kidney function and tumor necrosis factor alpha using machine learning methods
This research aimed to approach relationships between metal mixture in blood and kidney
function, tumor necrosis factor alpha (TNF-α) by machine learning. Metals levels were …
function, tumor necrosis factor alpha (TNF-α) by machine learning. Metals levels were …
A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning
Researchers have long been captivated by the intricate workings of the human brain, an
enduring enigma. Extensive efforts have been devoted to unraveling its complexities, with …
enduring enigma. Extensive efforts have been devoted to unraveling its complexities, with …
[HTML][HTML] Leveraging Generative AI in Short Document Indexing
S Bouzid, L Piron - Electronics, 2024 - mdpi.com
The efficiency of information retrieval systems primarily depends on the effective
representation of documents during query processing. This representation is mainly …
representation of documents during query processing. This representation is mainly …
Harnessing long short-term memory algorithm for enhanced di-di word error detection and correction
AKB Saputra, MV Overbeek - AIP Conference Proceedings, 2024 - pubs.aip.org
The advent of Artificial Intelligence (AI) and Deep Learning, particularly in Natural Language
Processing (NLP), has been transformative in journalism, targeting prevalent'di-di'word …
Processing (NLP), has been transformative in journalism, targeting prevalent'di-di'word …
Neurosurgical literature classification–Evaluation of three automated methods and time trend analysis of the literature
S Eftekhar, B Eftekhar - Heliyon, 2024 - cell.com
Background Automated supervised text classification methods require preclassified training
data. Their application in scenarios that a large amount of preclassified data is not …
data. Their application in scenarios that a large amount of preclassified data is not …
Hybrid Approach for Multi-Classification of News Documents Using Artificial Intelligence
N Nagendra, J Chandra - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
In the context of news articles, text classification is essential for organizing and retrieving
useful information from massive amounts of textual data. Effectively categorizing news titles …
useful information from massive amounts of textual data. Effectively categorizing news titles …
Analysis of the impact of the contextual embeddings usage on the text classification accuracy
O Barkovska, A Havrashenko, V Serdechnyi… - … and Computer Systems, 2024 - nti.khai.edu
This study aims to improve the accuracy of text classification, which is critical in fields such
as medical diagnostics and law. In addition, accuracy requirements are increasing …
as medical diagnostics and law. In addition, accuracy requirements are increasing …