Extract topics and summarise outputs using Large Language Models (LLMs), either local, Gemini, Azure, or AWS Bedrock models (e.g. Claude, Nova models). The app will query the LLM with batches of ...

ABSTRACT: This study examines the specific techniques Disneyland applies to its experience marketing, which have helped it become a theme park leader. In the current marketplace, companies have to ...

Over the last decade, there has been a growing interest in cereal-legume intercropping for sustainable agriculture. As a result numerous papers, including reviews, focus on this topic. Screening this ...

The scientific discourse on mathematical modelling, especially with regard to its contributions to innovative teaching and learning in mathematics, has been established for decades. Opportunities for ...

Abstract: Text classification and Topic Modelling is the backbone for the text analysis of huge amount of corpus of data. With an increase in unstructured data around us, it is very difficult to ...

Check out https://ourcodingclub.github.io/workshop/ to learn how you can get involved! This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 ...

Abstract: Topic modelling is an area of text mining that has been actively developed in the last 15 years. A probabilistic topic model extracts a set of hidden topics from a collection of text ...