EUROSENTIMENT

Language Resource Pool for Sentiment Analysis in European Languages

 Coordinatore  

 Organization address address: AVENIDA DE EUROPA 26 BLOQUE 5
city: POZUELO DE ALARCON

contact info
Titolo: Mr.
Nome: Fernando
Cognome: Jiménez
Email: send email
Telefono: 34913525942

 Nazionalità Coordinatore Non specificata
 Totale costo 2˙560˙179 €
 EC contributo 1˙930˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-09-01   -   2014-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    PARADIGMA TECNOLOGICO SL

 Organization address address: AVENIDA DE EUROPA 26 BLOQUE 5
city: POZUELO DE ALARCON

contact info
Titolo: Mr.
Nome: Fernando
Cognome: Jiménez
Email: send email
Telefono: 34913525942

ES (POZUELO DE ALARCON) coordinator 0.00
2    EXPERT SYSTEM S.P.A.

 Organization address address: VIALE VIRGILIO
city: MODENA

contact info
Titolo: Ms.
Nome: Florinda
Cognome: Marzano
Email: send email
Telefono: +39 059 894011
Fax: +39 059 894099

IT (MODENA) participant 0.00
3    FONDAZIONE BRUNO KESSLER

 Organization address address: VIA SANTA CROCE
city: TRENTO

contact info
Titolo: Dr.
Nome: Umberto
Cognome: Silvestri
Email: send email
Telefono: +39 0461 314375
Fax: +39 0461 302040

IT (TRENTO) participant 0.00
4    NATIONAL UNIVERSITY OF IRELAND, GALWAY

 Organization address address: University Road
city: GALWAY

contact info
Titolo: Ms.
Nome: Maria
Cognome: Smyth
Email: send email
Telefono: +353 91 495015
Fax: +353 91 495541

IE (GALWAY) participant 0.00
5    SINDICE LIMITED

 Organization address address: IDA BUSINESS PARK LOWER DANGA DERI
city: Galway

contact info
Titolo: Dr.
Nome: Renaud
Cognome: Delbru
Email: send email
Telefono: +35 3871272938

IE (Galway) participant 0.00
6    UNIVERSIDAD POLITECNICA DE MADRID

 Organization address address: Calle Ramiro de Maeztu
city: MADRID

contact info
Titolo: Dr.
Nome: Gonzalo
Cognome: León
Email: send email
Telefono: +34 91 336 60 48
Fax: +34 336 59 74

ES (MADRID) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

language       sentiment    schema    data    opinions    interoperability    resource    pool    owners    strength   

 Obiettivo del progetto (Objective)

During the last years, there has been a high increase in the use of social networks and blogs so that citizens and consumers express now widely their opinions about different topics like politics, society and media, through these channels. However the development of systems for sentiment analysis of these opinions is hampered by difficulties to access and get the necessary language resources, for several reasons:(i) language resource owners fears for losing competitiveness;(ii) lack of agreed language resource schemas for sentiment analysis and not normalised magnitudes for measuring sentiment strength;(iii) high costs for adapting existing language resources for sentiment analysis;(iv) reduced visibility, accessibility and interoperability of the language resources.

The project aims to develop a large shared data pool for language resources meant to be used by sentiment analysis systems, in order to bundle together scattered resources. One goal is to extend the WordNet Domain to sentiment analysis. The project will also specify a schema for sentiment analysis and normalise the metrics used for sentiment strength. The sharing of resources will be supported by a self-sustainable and profitable framework based on a community governance model, offering contributors the possibility of exploiting commercially the resources they provide.

The project is structured around following steps:- definition of a common schema to ensure interoperability;- acquisition and clean up of language resources;- deployment of the resources and- validation through opinion mining demonstrators in the hotel and electronic domains.

The targeted users are B2B including service developers, content providers, LR owners.The data pool will cover 6 languages: English Catalan German Italian Portuguese and Spanish.

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