This report presents a systematic evaluation of contemporary large language models (LLMs) on three critical natural language processing (NLP) tasks: narrative detection, topic modelling, and aspect-based sentiment analysis (ABSA)1. These tasks are foundational for understanding and interpreting textual data from diverse sources, including news media, official communications, academic publications, and social platforms. They enable the extraction of meaningful insights that inform public discourse, support communication-related strategic decision-making, and inform communication strategies across domains.