Large language models (LLMs), such as OpenAI's Generative Pre-trained Transformer
(GPT), are a class of language models that have demonstrated outstanding performance …

Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic
modeling have been developed which consider many kinds of relationships and restrictions …

We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication
research. Yet, questions regarding reliability and validity of the approach have received little …

The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …

In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

ABSTRACT The concept of Artificial Intelligence (AI) as a business-disruptive technology
has developed in academic and professional literature in a chaotic and unstructured …

Topic modelling is the new revolution in text mining. It is a statistical technique for revealing
the underlying semantic structure in large collection of documents. After analysing …

Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …