[HTML][HTML] Application of artificial intelligence techniques to detect fake news: A review

M Berrondo-Otermin, A Sarasa-Cabezuelo - Electronics, 2023 - mdpi.com
With the rapid growth of social media platforms and online news consumption, the
proliferation of fake news has emerged as a pressing concern. Detecting and combating …

[HTML][HTML] Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

D Ranga, A Rana, S Prajapat, P Kumar, K Kumar… - Mathematics, 2024 - mdpi.com
Quantum computing and machine learning (ML) have received significant developments
which have set the stage for the next frontier of creative work and usefulness. This paper …

Deepfake detection on social media: leveraging deep learning and fasttext embeddings for identifying machine-generated tweets

S Sadiq, T Aljrees, S Ullah - IEEE Access, 2023 - ieeexplore.ieee.org
Recent advancements in natural language production provide an additional tool to
manipulate public opinion on social media. Furthermore, advancements in language …

Applying qnlp to sentiment analysis in finance

J Stein, I Christ, N Kraus, MB Mansky… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
As an application domain where the slightest qualitative improvements can yield immense
value, finance is a promising candidate for early quantum advantage. Focusing on the …

[HTML][HTML] Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language

R Guarasci, R Catelli, M Esposito - Expert Systems with Applications, 2024 - Elsevier
Nowadays, the spread of deceptive reviews is a problem that has reached critical
dimensions, having a significant economic impact on business activities. This paper aims to …

Quantum transfer learning for acceptability judgements

G Buonaiuto, R Guarasci, A Minutolo… - Quantum Machine …, 2024 - Springer
Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural
language processing tasks, particularly classification-related ones. Among the possibilities …

Quantum-inspired language models based on unitary transformation

Z Fan, J Zhang, P Zhang, Q Lin, Y Li, Y Qian - Information Processing & …, 2024 - Elsevier
Quantum language models (QLMs), a novel domain in Natural Language Processing (NLP),
employ the mathematical framework of quantum mechanics to model language. Although …

Quantum Algorithms: A New Frontier in Financial Crime Prevention

AI Weinberg, A Faccia - arxiv preprint arxiv:2403.18322, 2024 - arxiv.org
Financial crimes fast proliferation and sophistication require novel approaches that provide
robust and effective solutions. This paper explores the potential of quantum algorithms in …

Qsim: a quantum-inspired hierarchical semantic interaction model for text classification

H Gao, P Zhang, J Zhang, C Yang - Neurocomputing, 2025 - Elsevier
Semantic interaction modeling is a fundamental technology in natural language
understanding that guides models to extract deep semantic information from text. Currently …

Recurrent quantum embedding neural network and its application in vulnerability detection

Z Song, X Zhou, J Xu, X Ding, Z Shan - Scientific Reports, 2024 - nature.com
In recent years, deep learning has been widely used in vulnerability detection with
remarkable results. These studies often apply natural language processing (NLP) …