Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Named Entity Recognition (NER) in social media has received much research attention in
the field of natural language processing (NLP) and information extraction. Research on this …

Reddit is the largest topically structured social network. Existing literature, reporting results
of Reddit-related research, considers different phenomena, from social and political studies …

A massive amount of news is being shared online by individuals and news agencies,
making it difficult to take advantage of these news and analyse them in traditional ways. In …

Text classification of research articles in emerging fields poses significant challenges due to
their complex boundaries, interdisciplinary nature, and rapid evolution. Traditional methods …

The availability of large event data brings new opportunities for social analysis and informed
policy-making processes. GDELT (the Global Database of Events, Language, and Tone) is a …

ABSTRACT The Emerging News task at MediaEval 2021 involves finding emerging events
in a real-time stream of news and Twitter messages, and providing relevant insights for …

This study presents an ensemble approach that addresses the challenges of identification
and analysis of research articles in rapidly evolving fields, using the field of Artificial …

Journalistic Knowledge Platforms (JKPs) are a type of intelligent information systems
designed to augment news creation processes by combining big data, artificial intelligence …

The advances in large language models have been noticeable to researchers and the
general public in recent times [56]. We see the development of large language models in …