This study represents an initial endeavor to harness the potential of the semantic space within the Twitter news flow to forecast financial anomalies. In pursuit of this objective, approximately two million entities were extracted from the news text disseminated by the most widely followed news...

This paper investigates the use of large language models (LLMs) for moderating online discussions, with a focus on identifying user intent in various types of content. It centers on natural language processing (NLP) techniques to detect toxic language, derailment in discussions, and problematic...

Assistant Conversational Agents (chatbots) are becoming increasingly complex and sophisticated since they are enabled to understand and respond to human language. Chatbots have varying organizational functions, from customer support to personal assistance, and have dominated the digital market...

More than any other literary genre, poetry presents a significant challenge for Natural Language Processing (NLP) algorithms. Small poetries in the Persian language are called ghazal. Ghazal classification by document embedding technique and sequential learning on poetic era is an under-explored...

The rapid adoption of digital health technologies generates a vast amount of health data, presenting an opportunity to leverage advanced data analytics and cognitive computing to extract insights and knowledge from this data and improve healthcare outcomes. This research presents an integrated...

The latest developments in Artificial Intelligence (AI) are the focal point in increasing the performance of other technologies and the evolution of Industry 4.0. Considering the benefits of AI in today's world, businesses must move towards using Integrated AI tools and services. This paper...