Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy

arXiv:2404.10259v1 Announce Type: cross
Abstract: The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion. Supervised methods are adept at text categorization, yet the dynamic nature of social media discussions poses a continual challenge for these techniques due to the constant shifting of the focus. On the other hand, traditional unsupervised methods for extracting themes from public discourse, such as topic modeling, often reveal overarching patterns that might not capture …

abstract adept arxiv automated challenge continual cs.ai cs.cl cs.cy cs.lg cs.si discussions dynamic llms loop media messaging nature opinion public social social media strategy text type