In the last decade there is extensive and continuously growing creation of political content in the Internet, and especially in the Web 2.0 social media, which can be quite useful for government agencies in order to understand the needs and problems of societies and formulate effective public policies for addressing them. So a variety of ICT-based methods have been developed for the exploitation of this political content by governments 'citizensourcing', initially simpler and later more sophisticated ones. These ICT-based methods are increasingly based on the use of opinion mining OM and sentiment analysis SA techniques, in order to process the extensive political content collected from numerous sources. This paper describes a novel approach to OM and SA use, created as part of an advanced ICT-based method of exploiting political content created in the Internet, and especially in social media, by experts 'expertsourcing', aiming to leverage the extensive policy community of the European Union, which is developed in the European EU-Community project. Furthermore, some first experimental results of it are presented.
['Yannis Charalabidis', 'Manolis Maragoudakis', 'Euripides Loukis']
Opinion Mining and Sentiment Analysis in Policy Formulation Initiatives: The EU-Community Approach