Use Case Demonstration @ DocEng2025: Conversation-Driven Multi-LLM Framework for Web Document Sentiment Analysis

Kurzfassung

In this use case demonstration we show how a system of collaborative Large Language Models (LLMs) can be applied to the task of analyzing the sentiment of online news articles. The emergence of LLMs has proven to be highly valuable in interpreting unstructured text, offering nuanced and context-aware insights. While they can not fully replace traditional machine learning approaches for sentiment analysis, our approach illustrates how collaborative LLM architectures can enrich the explainability and trustworthiness of the outcomes.