Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Large language models (LLMs) have recently soared in popularity due to their ease of
access and the unprecedented ability to synthesize text responses to diverse user …

Understanding published unstructured textual data using traditional text mining approaches
and tools is becoming a challenging issue due to the rapid increase in electronic open …

Researching Language and Social Media: A Student Guide introduces the linguistic
frameworks currently used to analyse language found in social media contexts. This highly …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Large language models (LLMs) are capable of generating multiple responses to a single
prompt, yet little effort has been expended to help end-users or system designers make use …

Increased access to online engagement platforms has created a shift in civic practice,
enabling civic leaders to broaden their outreach to collect a larger number of community …

Analyzing social streams is important for many applications, such as crisis management.
However, the considerable diversity, increasing volume, and high dynamics of social …