Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Jozef Kapusta"'
Autor:
Dominik Halvonik, Jozef Kapusta
Publikováno v:
IEEE Access, Vol 12, Pp 107046-107058 (2024)
Currently, we are once again experiencing a frenzy related to artificial intelligence. Generative Pre-trained Transformers (GPT) models are highly effective at various natural language processing tasks. Different varieties of GPT models are widely us
Externí odkaz:
https://doaj.org/article/4acb3f76789e49e892cd4531fc9e73d1
Publikováno v:
IEEE Access, Vol 12, Pp 31538-31550 (2024)
Contemporary language models heavily rely on large corpora for their training. The larger the corpus, the better a model can capture various semantic relationships. The issue at hand appears to be the limited scope of the corpora used. One potential
Externí odkaz:
https://doaj.org/article/4c989e39e15146088571517ce29cf030
Autor:
Kirsten Šteflovič, Jozef Kapusta
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9272 (2023)
There are several possibilities to improve classification in natural language processing tasks. In this article, we focused on the issue of coreference resolution that was applied to a manually annotated dataset of true and fake news. This dataset wa
Externí odkaz:
https://doaj.org/article/5660b487b8e147baa3856dc1b66c3b64
Autor:
Kitti Szabó Nagy, Jozef Kapusta
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6438 (2023)
This research proposes a novel technique for fake news classification using natural language processing (NLP) methods. The proposed technique, TwIdw (Term weight–inverse document weight), is used for feature extraction and is based on TfIdf, with t
Externí odkaz:
https://doaj.org/article/68b3dc9e532043a4bccd3317c83a5f23
Publikováno v:
PeerJ Computer Science, Vol 7, p e624 (2021)
Research of the techniques for effective fake news detection has become very needed and attractive. These techniques have a background in many research disciplines, including morphological analysis. Several researchers stated that simple content-rela
Externí odkaz:
https://doaj.org/article/45d3d94a6e5d45abbe6231e145841dc6
Publikováno v:
PLoS ONE, Vol 16, Iss 10 (2021)
The paper examines the interest of the commercial banks’ stakeholders in Pillar 3 disclosures and their behaviour during the timing of serious market turbulence. The aim is to discover to which extent current banking regulation supports stakeholder
Externí odkaz:
https://doaj.org/article/350b8510208a4fc0a79e54d4bc7d7f19
Autor:
Kitti Nagy, Jozef Kapusta
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0256940 (2021)
Fake news is a complex problem that leads to different approaches used to identify them. In our paper, we focus on identifying fake news using its content. The used dataset containing fake and real news was pre-processed using syntactic analysis. Dep
Externí odkaz:
https://doaj.org/article/0f5222ec541842eca3ca282f2ed015f4
Autor:
Jozef Kapusta, Juraj Obonya
Publikováno v:
Informatics, Vol 7, Iss 1, p 4 (2020)
Due to the constantly evolving social media and different types of sources of information, we are facing different fake news and different types of misinformation. Currently, we are working on a project to identify applicable methods for identifying
Externí odkaz:
https://doaj.org/article/b806fcbdae53493bae749b6917bdf35b
Publikováno v:
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol 61, Iss 4, Pp 973-979 (2013)
We use data cleaning, integration, reduction and data conversion methods in the pre-processing level of data analysis. Data processing techniques improve the overall quality of the patterns mined. The paper describes using of standard pre-processing
Externí odkaz:
https://doaj.org/article/a2eb5bfbfe9d4d88b220644a1ea9723b
Publikováno v:
Interactive Learning Environments. :1-16
The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Lea...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84fdd9894cb89784da37c2b43a0fd187
https://doi.org/10.1080/10494820.2021.1913609
https://doi.org/10.1080/10494820.2021.1913609