TrendMiner
Large-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams
| Coordinatore | DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Organization address
address: Trippstadter Strasse 122 contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 3˙683˙928 € |
| EC contributo | 2˙886˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-7 |
| Funding Scheme | CP |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-11-01 - 2014-10-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Organization address
address: Trippstadter Strasse 122 contact info |
DE (KAISERSLAUTERN) | coordinator | 0.00 |
| 2 |
DAEDALUS-DATA, DECISIONS AND LANGUAGE, S.A.
Organization address
address: CALLE LOPEZ DE HOYES 15 3 IZQ contact info |
ES (MADRID) | participant | 0.00 |
| 3 |
EUROKLEIS S.R.L.
Organization address
address: VIA GIORGIO BAGLIVI 3 contact info |
IT (ROMA) | participant | 0.00 |
| 4 |
Hardik Fintrade Pvt Ltd.
Organization address
address: SHRI RAM CLOTH MARKET, REVDI BAZAR 227 contact info |
IN (AHMEDABAD) | participant | 0.00 |
| 5 |
Instytut Podstaw Informatyki Polskiej Akademii Nauk
Organization address
address: UL. JANA KAZIMIERZA 5 contact info |
PL (WARSZAWA) | participant | 0.00 |
| 6 |
INTERNET MEMORY RESEARCH SAS
Organization address
address: RUE DE LA REVOLUTION 45 TER contact info |
FR (MONTREUIL) | participant | 0.00 |
| 7 |
MAGYAR TUDOMANYOS AKADEMIA, NYELVTUDOMANYI INTEZET
Organization address
address: BENCZUR UTCA 33 contact info |
HU (BUDAPEST) | participant | 0.00 |
| 8 |
ONTOTEXT AD
Organization address
address: TSARIGRADSKO SHOSE 135 contact info |
BG (SOFIA) | participant | 0.00 |
| 9 |
SORA OGRIS & HOFINGER GMBH
Organization address
address: BENNOGASSE 8/2/16 contact info |
AT (WIEN) | participant | 0.00 |
| 10 |
THE UNIVERSITY OF SHEFFIELD
Organization address
address: FIRTH COURT WESTERN BANK contact info |
UK (SHEFFIELD) | participant | 0.00 |
| 11 |
UNIVERSIDAD CARLOS III DE MADRID
Organization address
address: CALLE MADRID 126 contact info |
ES (GETAFE (MADRID)) | participant | 0.00 |
| 12 |
UNIVERSITY OF SOUTHAMPTON
Organization address
address: Highfield contact info |
UK (SOUTHAMPTON) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Scientifically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short on accuracy, scalability and portability.The goal of this project is to deliver. innovative, portable open-source real-time methods for cross-lingual mining and summarisation of large-scale stream media.TrendMiner will achieve this through an inter-disciplinary approach, combining deep linguistic methods from text processing, knowledge-based reasoning from web science, machine learning, economics, and political science. No expensive human annotated data will be required due to our use of time-series data (e.g. financial markets, political polls) as a proxy. A key novelty will be weakly supervised machine learning algorithms for automatic discovery of new trends and correlations. Scalability and affordability will be addressed through a cloud-based infrastructure for real-time text mining from stream media.Results will be validated in two high-profile case studies: financial decision support (with analysts, traders, regulators, and economists) and political analysis and monitoring (with politicians, economists, and political journalists).The techniques will be generic with many business applications: business intelligence, customer relations management, community support. The project will also benefit society and ordinary citizens by enabling enhanced access to government data archives, summarisation of online health information , and tracking of hot societal issues.TrendMiner addresses Objective ICT-2011.4.2 Language Technologies, target outcome b) Information access and mining.