Previous works in social media processing during crisis management highlight a paradox: Citizens are extensively sharing data from the field of the crisis, while decision-makers are looking for information about the emerging risks they need to address. Several tools already exist to help taking advantage of this new important source of data. However, few made their way to decision-makers, mainly because they remain resource-consuming. That is why the question of a tool, able to process social media in near-real time, to deliver actionable information from the field is still pending. Based on a state of the art of the Natural Language Processing tools and systems dedicated to the use of social media data to improve the situational awareness of the decision-makers, this paper aims to describe a way to provide them with a first comprehensive system which asset is to completely address the challenge, from the collection of the data to their interpretation and understanding and finally offer situational models. In this sense, the paper focuses on the thorough detail of the business and consequent technical challenges that are raised, and a work in progress proposal to address them in a comprehensive manner.