Participants (N = 487) read or listened to a health text and then completed a questionnaire evaluating perceived difficulty of the text measured using a 5-point Likert scale and actual difficulty ...

Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...

Embodied learning has attracted considerable attention in recent years. However, there is no academic consensus on whether embodied learning effectively enhances students’ learning performance. The ...

Abstract: Sentiment analysis of product reviews has become an essential factor for understanding customer feedback. While traditional methods focus only on text-based reviews, the fusion of multiple ...

This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...

On Wednesday, The Atlantic published a fuller look at the contents of the messages in this group chat, including sensitive details about U.S. strikes that experts say almost certainly were highly ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.

Computational methods are transforming research practice across the disciplines. For social scientists these methods offer a number of valuable opportunities, including creating new datasets from ...