MULTISENSOR (Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation) is an EU funded research project, which aims at advancing the research and development of multilingual media analysis technologies.
Contact: Boyan Simeonov
The goal is to enable users (e.g. journalists, entrepreneurs) to attain a comprehensive and exact understanding of topics they are engaged in, not only from their own but from multiple viewpoints.
Scanning multiple heterogeneous sources, MULTISENSOR helps to gather and semantically integrate various local subjective and biased views disseminated via TV, radio, mass media websites and social media.
Using sentiment, social and spatiotemporal methods, MULTISENSOR then helps to interpret, relate and summarize economic information and news items.
Ontotext’s role includes Semantic Reasoning and Decision Support, and data engineering for Linguistic Linked Data. More specifically, our tasks include: