Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

Recently, the relationship between automated and human evaluation of topic models has
been called into question. Method developers have staked the efficacy of new topic model …

Abstract Large-scale Information and Communications Technology (ICT) systems give rise
to difficult situations such as handling cascading failures and detecting complex malicious …

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

The feedback shared by consumers on e-commerce platforms holds immense value in
marketing, as it offers insights into their opinions and preferences, which are readily …

The recent explosion in work on neural topic modeling has been criticized for optimizing
automated topic evaluation metrics at the expense of actual meaningful topic identification …

What are the best methods of capturing thematic similarity between literary texts? Knowing
the answer to this question would be useful for automatic clustering of book genres, or any …

Abstract This study introduces RheumaLinguisticpack (RheumaLpack), the first specialised
linguistic web corpus designed for the field of musculoskeletal disorders. By combining web …

Story detection in online communities is a challenging task as stories are scattered across
communities and interwoven with non-storytelling spans within a single text. We address this …

Featured Application Technology trend analysis of connected vehicles. Abstract As official
public records of inventions, patents provide an understanding of technological trends …