Event: News analysis methods with contextual embeddings: selected applications from EMBEDDIA project
Date: Wednesday 9 March 2022
EMBEDDIA is a Horizon 2020 funded project consisting of a large European consortium of partners from academia, media, and technology, which addresses the development of deep-learning-based solutions for applications in the news media industry. We focus especially on less-represented European languages and cross-lingual solutions. During the talk, we will overview the main achievements of the project and present some of the newly developed tools for sentiment analysis, comment filtering, keyword extraction, and viewpoint detection.
Time: 12:00 (Noon)
Venue: ICT Building, Level -1, Block B, Room 1
EMBEDDIA is a Horizon 2020 funded project consisting of a large European consortium of partners from academia, media, and technology, which addresses the development of deep-learning-based solutions for applications in the news media industry. We focus especially on less-represented European languages and cross-lingual solutions. During the talk, we will overview the main achievements of the project and present some of the newly developed tools for sentiment analysis, comment filtering, keyword extraction, and viewpoint detection.
Speakers: Senja Pollak and Matej Martinc, Jožef Stefan Institute
For more information kindly contact Dr Claudia Borg by sending her an email.