MULTISENSOR is developing new multilingual online media analysis technologies. The aim is to enable professional media monitors (e.g. journalists, press agencies, analysts) to attain a comprehensive and exact understanding of topics being discussed on the web.
The MULTISENSOR platform scans multiple heterogeneous sources, then translates and processes the content. It visualizes details about sentiment, entities, social and other important aspects necessary to provide context. Adding automated summarization of each content item MULTISENSOR helps you to better distinguish the relevant signals among the noise.
Deutsche Welle is a user partner, leading the use case development and requirements gathering. We are also involved in dissemination and evaluation of the project’s results.
The project runs from November 2013 – November 2016.
Bring me to the MULTISENSOR website
EUMSSI aims to develop technologies for identifying and aggregating unstructured data with different levels of granularity from both new and traditional media sources. The planned multimodal search will focus on high-level semantic, conceptual and event-centered representation while allowing for strong interoperability and interactive reinforcement of the data aggregation.
The resulting platform will be potentially useful for any application in need of cross-media data analysis and interpretation, such as intelligent content management systems, personalized recommendation, real time event tracking, content filtering, etc.
Deutsche Welle is a user partner and develops the journalistic use case. It will also lead the user requirements analysis and contribute to user validation and dissemination tasks.
The project runs from December 2013 – November 2016.
Bring me to the EUMSSI website