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A review on authorship attribution in text mining
The issue of authorship attribution has long been considered and continues to be a popular
topic. Because of advances in digital computers, this field has experienced rapid …
topic. Because of advances in digital computers, this field has experienced rapid …
[HTML][HTML] Exploratory data analysis and deception detection in news articles on social media using machine learning classifiers
This paper investigates realistic ways to identify fake news on digital platforms in this context
automatically. To begin, a massive number of current and correlated works were surveyed in …
automatically. To begin, a massive number of current and correlated works were surveyed in …
The use of syntactic information in fake news detection: A systematic review
Fake news has been a critical problem for society, to the extent that its damaging effects can
already be seen in several areas, such as democracy and health. However, as fake news …
already be seen in several areas, such as democracy and health. However, as fake news …
Using a classification model for determining the value of liver radiological reports of patients with colorectal cancer
Background Medical imaging is critical in clinical practice, and high value radiological
reports can positively assist clinicians. However, there is a lack of methods for determining …
reports can positively assist clinicians. However, there is a lack of methods for determining …
Twidw—a novel method for feature extraction from unstructured texts
Featured Application The research has a potential application in the field of fake news
detection. By using the feature extraction technique, TwIdw, proposed in this paper, more …
detection. By using the feature extraction technique, TwIdw, proposed in this paper, more …
Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks
In this paper, a new technique of feature extraction is proposed, which is considered an
essential part of natural language processing. Feature extraction is the process of …
essential part of natural language processing. Feature extraction is the process of …
Health Misinformation in Social Networks: A Survey of IT Approaches
V Papanikou, P Papadakos, T Karamanidou… - ar** study
T Kudryk, A Lindh - 2022 - diva-portal.org
Fake news, or information disorder, is a societal problem that could be partially remedied by
automatic detection tools. While still a young research field many such tools have been …
automatic detection tools. While still a young research field many such tools have been …