AI RESEARCH
Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media
arXiv CS.CL
•
ArXi:2605.21338v1 Announce Type: new LLMs have nstrated exceptional proficiency in a wide range of NLP tasks. However, a notable gap remains in practical data analysis scenarios, particularly when LLMs are required to process long sequences of unstructured documents, such as news feeds or, as specifically addressed in this paper, social media posts. To empirically assess the effectiveness of LLMs in this setting, we