To investigate the advancements of artificial intelligence techniques in the realm of library
and information subject, we have chosen the Latent Dirichlet Allocation method as a case …

The adoption of high-performance computing (HPC) in healthcare has gained significant
attention in recent years, driving advancements in medical research and clinical practice …

This article investigates the application of spiking neural networks (SNNs) to the problem of
topic modeling (TM): the identification of significant groups of words that represent human …

Text clustering can automatically analyze hot events from large-scale data and provide key
feature descriptions of event topics. This paper selected# ChatGPT as the text training …

As social media (SM) becomes increasingly prevalent, its impact on society is expected to
grow accordingly. While SM has brought positive transformations, it has also amplified pre …

In this paper, we test a famous conjecture in literary history put forward by Seignobos and de
Rougemont according to which the French central medieval period (12-13th centuries) is …

Climate change has led to a variety of disasters that have caused damage to infrastructure
and the economy with societal impacts to human living. Understanding people's emotions …

Topic modeling and text mining are subsets of natural language processing (NLP) with
relevance for conducting meta-analysis (MA) and systematic review (SR). For evidence …

Countless disasters have resulted from climate change, with severe damage to infrastructure
and the economy. Their societal impacts require mental health services for the millions …

As social media becomes increasingly prevalent, its impact on society is expected to grow
accordingly. While it has brought about positive transformations, it has also amplified pre …