In the past few years, a new crop of transformer-based language models such as Google's
BERT and OpenAI's ChatGPT has become increasingly popular in text analysis, owing their …

Fake news is being generated in different languages, yet existing studies are dominated by
English news. The analysis of fake news content has focused on lexical and stylometric …

Using the novel technique of topic modelling, this paper examines thematic patterns and
their changes over time in a large corpus of corporate social responsibility (CSR) reports …

Topic models aim at discovering a set of hidden themes in a text corpus. A user might be
interested in identifying the most similar topics of a given theme of interest. To accomplish …

The importance of integrating renewable energy, such as solar PV, in the global energy mix
for mitigating carbon emissions is increasing. Despite the global drive towards renewable …

Topic modeling aims to discover latent themes in collections of text documents. It has
various applications across fields such as sociology, opinion analysis, and media studies. In …

Honeyfile deployment is a useful breach detection method in cyber deception that can also
inform defenders about the intent and interests of intruders and malicious insiders. A key …

Recent literature suggests that variations in both formal and content aspects of texts shared
on social media tend to reflect user-level differences in demographic, psychosocial, and …

Every day, many people use social media platforms to share information, thoughts,
narratives and personal experiences. The vast volume of user-generated content offers …

In this paper, we enhance and customize the existing BERTopic framework to develop and
implement an automated pipeline that delivers a more coherent and diverse set of topics …