In TrendMiner we are aiming at various types of results, to be delivered to the R&D community at large:
- 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.
- Methods and Technologies: outcome of TrendMiner will be open-source algorithms for real-time analysis and summarisation of multilingual media streams.
- 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.
- The case studies will provide two demonstrated deployments in financial decision support and political science.