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dc.contributor.authorSTEINBERGER JOSEFen_GB
dc.contributor.authorEBRAHIM MOHAMEDen_GB
dc.contributor.authorEHRMANN MAUDen_GB
dc.contributor.authorHÜRRIYETOĞLU ALIen_GB
dc.contributor.authorKABADJOV MIJAILen_GB
dc.contributor.authorLENKOVA POLINAen_GB
dc.contributor.authorSTEINBERGER Ralfen_GB
dc.contributor.authorTANEV Hristoen_GB
dc.contributor.authorVÁZQUEZ Silviaen_GB
dc.contributor.authorZAVARELLA Vannien_GB
dc.date.accessioned2012-12-06T01:02:08Z-
dc.date.available2012-12-05en_GB
dc.date.available2012-12-06T01:02:08Z-
dc.date.created2012-08-22en_GB
dc.date.issued2012en_GB
dc.date.submitted2011-06-30en_GB
dc.identifier.citationDECISION SUPPORT SYSTEMS vol. 53 no. 4 p. 689-654en_GB
dc.identifier.issn0167-9236en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0167923612001406en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC65732-
dc.description.abstractThe paper presents a semi-automatic approach to creating sentiment dictionaries in many languages. We first produced high-level gold-standard sentiment dictionaries for two languages and then translated them automatically into third languages. Those words that can be found in both target language word lists are likely to be useful because their word senses are likely to be similar to that of the two source languages. These dictionaries can be further corrected, extended and improved. In this paper, we present results that verify our triangulation hypothesis, by evaluating triangulated lists and comparing them to non-triangulated machine-translated word lists.en_GB
dc.description.sponsorshipJRC.G.2-Global security and crisis managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCIENCE BVen_GB
dc.relation.ispartofseriesJRC65732en_GB
dc.titleCreating Sentiment Dictionaries via Triangulationen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.dss.2012.05.029en_GB
JRC Directorate:Space, Security and Migration

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