Topic models have been prevalent for decades to discover latent topics and infer topic
proportions of documents in an unsupervised fashion. They have been widely used in …

Metaphors frequently appear in financial news headlines due to their ability to effectively
convey complex financial concepts and market trends in a concise and memorable manner …

Metaphors are figurative expressions frequently appearing daily. Given its significance in
downstream natural language processing tasks such as machine translation and sentiment …

Combining symbolic and subsymbolic methods has become a promising strategy as
research tasks in AI grow increasingly complicated and require higher levels of …

Extreme weather can lead to weather-induced disasters. These have a profound impact on
communities worldwide, causing loss of life, damage to properties and infrastructure, and …

Sentiment analysis is crucial in extracting valuable insights from vast amounts of textual data
generated across various platforms, such as social media, customer reviews, news articles …

Wildfires are among the most threatening hazards to life, property, well-being, and the
environment. Studying public opinions about wildfires can help monitor the perception of the …

ChatGPT represents a significant advancement in the field of Artificial Intelligence (AI),
showcasing the development of a robust AI system capable of multitasking and generating …

Abstract Winter Storm Uri hit Texas in February 2021, leaving millions of people without
power. This winter storm and energy crisis provide an example of failed climate planning but …

Among text-oriented applications, Natural Language Processing (NLP) plays a significant
role in managing and identifying a particular text data. NLP is broadly used in text mining …