All Outputs (3)

Political-RAG: using generative AI to extract political information from media content (2024)
Journal Article

In the digital era, media content is crucial for political analysis, providing valuable insights through news articles, social media posts, speeches, and reports. Natural Language Processing (NLP) has transformed Political Information Extraction (IE)... Read More about Political-RAG: using generative AI to extract political information from media content.

Driving sustainable energy transitions with a multi-source RAG-LLM system (2024)
Journal Article

By 2035, the UK aims to upgrade all homes to achieve a net-zero economy by 2050, thereby reducing energy consumption, household costs, and improving living conditions. Small and Medium-sized Enterprises (SMEs) play a crucial role in this transition.... Read More about Driving sustainable energy transitions with a multi-source RAG-LLM system.

Business insights using RAG–LLMs: A review and case study (2024)
Journal Article

As organizations increasingly rely on diverse data sources like invoices and surveys, efficient Information Extraction (IE) is crucial. Natural Language Processing (NLP) enhances IE through tasks such as Named Entity Recognition (NER), Relation Extra... Read More about Business insights using RAG–LLMs: A review and case study.