In TrendMiner we are  aiming at  various types of  results, to be  delivered to the R&D community at large:


  1. Models and Approaches: the outcome of the TrendMiner project will be novel models and approaches for combining multi-lingual text processing, extra-linguistic knowledge, and time-series machine learning models, in order to detect and track events, trends, and sentiment in stream media.                                                                                                                                                                                    
  2. Methods and Technologies: outcome of TrendMiner will be open-source algorithms for real-time analysis and summarisation of multilingual media streams.                                                                                                                                    
  3. Infrastructure, tools and applications: TrendMiner will deliver a cloud-based platform for real-time stream media collection, analysis and summarisation. Algorithms and technologies will be made available as scalable web services, running on the TrendMiner platform.                                                                                                                                                    
  4. The case studies will provide two demonstrated deployments in financial decision support and political science.