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[HTML][HTML] Application of artificial intelligence techniques to detect fake news: A review
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 …
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
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 …
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
Recent advancements in natural language production provide an additional tool to
manipulate public opinion on social media. Furthermore, advancements in language …
manipulate public opinion on social media. Furthermore, advancements in language …
Applying qnlp to sentiment analysis in finance
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 …
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
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 …
dimensions, having a significant economic impact on business activities. This paper aims to …
Quantum transfer learning for acceptability judgements
Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural
language processing tasks, particularly classification-related ones. Among the possibilities …
language processing tasks, particularly classification-related ones. Among the possibilities …
Quantum-inspired language models based on unitary transformation
Quantum language models (QLMs), a novel domain in Natural Language Processing (NLP),
employ the mathematical framework of quantum mechanics to model language. Although …
employ the mathematical framework of quantum mechanics to model language. Although …
Quantum Algorithms: A New Frontier in Financial Crime Prevention
Financial crimes fast proliferation and sophistication require novel approaches that provide
robust and effective solutions. This paper explores the potential of quantum algorithms in …
robust and effective solutions. This paper explores the potential of quantum algorithms in …
Qsim: a quantum-inspired hierarchical semantic interaction model for text classification
Semantic interaction modeling is a fundamental technology in natural language
understanding that guides models to extract deep semantic information from text. Currently …
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) …
remarkable results. These studies often apply natural language processing (NLP) …