Having a list of political actions of interest poses a challenge as we need to extract the information regarding those actions from different sources. In this workshop, we will see two different approaches for applying text mining to a large news corpus aiming at extracting the set of news containing those political actions. We will start with a basic approach, and then compare these results against a more advanced approach using NLP - Natural Language Processing - . This workshop will also present the results obtained by these two different strategies, also assessing venues for improvement.