Brands' investments in influencer marketing have been escalating over the past few years.
This study proposes and explicates how two similar and comparable sets of advertisements …

Sociologists are discussing the need for more formal ways to extract meaning from digital
text archives. We focus attention on the seeded topic model, a semi-supervised extension to …

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 …

ChatGPT, the revolutionary chat agent launched in November 2022, is still an active topic of
discussion among technology enthusiasts. This open-ended chatbot allows human-like …

There is a growing interest in topic modeling to decipher the valuable information embedded
in natural texts. However, there are no studies training an unsupervised model to …

Reviews left by consumers on e-commerce platforms provide crucial marketing information
as they are a publicly available source of information providing insight into consumers' …

The flourishing of the Internet has increasingly promoted the rise of new types of online
news websites with e-commerce portals. Online news websites provide specific information …

This paper aims to discover topics from an Indonesian online shop chat. Moreover, we
employed Latent Dirichlet Allocation to find out what kind of topics that are often discussed …

The unprecedented growth of unstructured text data in the healthcare domain makes it
difficult to find and extract relevant information manually. Biomedical named entity …

Recent years witnessed an unprecedented growth of unstructured text data in the healthcare
domain. Manual analysis and extraction of useful patterns from these large data collections …