{'fraction_non_alphanumeric': 0.01581395348837209, 'fraction_numerical': 0.0, 'mean_word_length': 5.987012987012987, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Flexible Deployment of Social Media Analysis Tools

The relationship between companies and customers and among public authorities and citizens has changed dramatically with the widespread utilisation of the Internet and Social Networks. To help governments to keep abreast of these changes, Inycom has developed Eccobuzz and Magician, a set of web applications for Social Media data mining. The unpredictable load of these applications requires flexible user-defined policies and automated scalability during deployment and execution time. Even more importantly, privacy norms require that data is restricted to certain physical locations. This paper explains how such applications are described with Application Description Templates (ADTs). ADTs define complex topology descriptions and various deployment, scalability and security policies, and how these templates are used by a submitter that translates this generic information into executable format for submission to the reference framework of the COLA European project Keywords—COLA, TOSCA, Cloud Orchestration, Swarm