Paper Info
Title
Observing Trends in Automated Multilingual Media Analysis.
Abstract
Any large organisation, be it public or private, monitors the media for information to keep abreast of developments in their field of interest, and usually also to become aware of positive or negative opinions expressed towards them. At least for the written media, computer programs have become very efficient at helping the human analysts significantly in their monitoring task by gathering media reports, analysing them, detecting trends and - in some cases - even to issue early warnings or to make predictions of likely future developments. We present here trend recognition-related functionality of the Europe Media Monitor (EMM) system, which was developed by the European Commissionu0027s Joint Research Centre (JRC) for public administrations in the European Union (EU) and beyond. EMM performs large-scale media analysis in up to seventy languages and recognises various types of trends, some of them combining information from news articles written in different languages and from social media posts. EMM also lets users explore the huge amount of multilingual media data through interactive maps and graphs, allowing them to examine the data from various view points and according to multiple criteria. A lot of EMMu0027s functionality is accessibly freely over the internet or via apps for hand-held devices.
Year
Venue
Field
2016
arXiv: Computation and Language
Graph,World Wide Web,Commission,Multiple criteria,Social media,Computer science,Artificial intelligence,Natural language processing,Europe media monitor,Multimedia,The Internet,European union
DocType
Volume
Citations 
Journal
abs/1603.02604
1
PageRank 
References 
Authors
0.36
4
11
Name
Order
Citations
PageRank
Ralf Steinberger194979.70
Aldo Podavini210.70
Alexandra Balahur359340.19
Guillaume Jacquet4849.14
Hristo Tanev545651.18
Jens P. Linge6425.30
Martin Atkinson715713.85
Michele Chinosi81185.60
Vanni Zavarella913712.73
Yaniv Steiner1010.36
Erik Van der Goot1122114.88