Search Results for Tag: summarization
Scalable Understanding of Multilingual MediA
SUMMA is an ambitious research and innovation project aimed at media monitoring, with a close collaboration between Deutsche Welle and the BBC. Through language technologies such as speech-to-text (automated transcription), machine translation, topic detection and summarization, the SUMMA platform will help media professionals, amongst others, to monitor and analyze news more efficiently.
The project will capture incoming news streams in eight languages, analyze and compare the data, and provide an overview of leading topics and trends with summaries in English. The University of Edinburgh is leading the project, consisting of eight partners.
The consortium is aiming at jointly developing three tools :
- an external media monitoring tool, to analyze news reporting by other broadcasters and press agencies to detect trends and main news items;
- an internal media monitoring tool, to enable journalists and other media professionals to keep track of what has been published within their own organization;
- a data-journalism tool, monitoring and analyzing statistical data
Deutsche Welle will be working towards testing and evaluating the entire SUMMA platform, and is the primary user partner for the internal monitoring tool. It is envisaged that the work will lead to a user-friendly and tested tool, specifically tailored to analyzing DW content, with potential for subsequent integration and implementation.
SUMMA runs from February 2016 – January 2019.
Bring me to the SUMMA website
DateTuesday, April 19th, 2016
Multilingual media monitoring with smart content analysis
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
DateFriday, August 15th, 2014
Tagsmedia monitoring, multilingual, Multisensor, semantic representation, sentiment analysis, social media, summarization