Abstract: Using deep learning frameworks to detect fake news is a sophisticated step toward automating the verification of media content, helping to identify and avert misinformation with speed and ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Accurate emotion recognition in social media text is critical for applications such as sentiment analysis, mental health monitoring, and human-computer interaction. However, existing approaches face ...

Abstract: The rapid spread of false information on social media has become a major challenge in today’s digital world. This has created a need for an effective rumor detection system that can identify ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

This paper presents a natural language processing (NLP) approach to the problem of thoroughly comprehending song lyrics, with particular attention on genre classification, view-based success ...

ABSTRACT: The proliferation of Large Language Models (LLMs) across various sectors underscored the urgency of addressing potential privacy breaches. Vulnerabilities, such as prompt injection attacks ...

There is a prevailing view that humans’ capacity to use language to characterize sensations like odors or tastes is poor, providing an unreliable source of information. Here, we developed a machine ...

The Windows version of the Python interpreter can be run from the command line the same way it’s run in other operating systems, by typing python or python3 at the prompt. But there’s a feature unique ...

Sentiment analysis is the process of determining the emotional tone of a piece of text. It is a valuable tool for understanding how people feel about a product, service, or idea. Distilbert is a small ...