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 ...
Abstract: Efficient classification of Arabic news items has become more crucial for efficient information management and analysis due to the fast growth of online news material. This paper proposes a ...
Objective: This review aimed to evaluate the predictive performance of text-based depression models that used standard labels, and to identify text resources, text representation, model architecture, ...
Abstract: Natural language processing (NLP) strategies are increasing in importance, due to the massive growth of unstructured textual data in digital communication, especially on platforms like ...