Abstract: This study uses the BERTopic model, which is an advanced natural language processing (NLP) technology. The method combines BERT embedding for doing topic analysis. Our data source adopots ...

Abstract: As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements. However, the short and unstructured ...

A total of 2,280,851 messages were analyzed. The monthly average number of messages increased from 2,071 in 2012 to 43,430 in 2022 (P < .001). There was a significant rise in message volume after the ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

A startling milestone has been reached in Florida's war against the invasive Burmese pythons eating their way across the Everglades. The Conservancy of Southwest Florida reports it has captured and ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

A new study led by an international research team, including Dr Fabian Braesemann from the Oxford Internet Institute, part of the University of Oxford, shows how Generative AI tools like ChatGPT are ...

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...