The way humans interact with technology has undergone a dramatic transformation over the past decade. Traditional interfaces, ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Studies related to the Qur’an have unearthed a multitude of unique challenges and opportunities within the Natural Language Processing (NLP) research domain. These challenges tend to stem from the ...

Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer Many Natural Language ...

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...

ABSTRACT: In the race to harvest the power of Artificial Intelligence (AI) in virtually every field, researchers and practitioners are faced with an ever increasing supply of novel tools that have not ...

In the race to harvest the power of Artificial Intelligence (AI) in virtually every field, researchers and practitioners are faced with an ever increasing supply of novel tools that have not undergone ...

Background and aim: In the last years, natural language processing (NLP) has transformed significantly with the introduction of large language models (LLM). This review updates on NLP and LLM ...

TF-IDF + SVM: A traditional machine learning pipeline where TF-IDF converts text into numerical vectors by weighting terms based on their frequency and importance across documents, and SVM classifies ...