Title: Creating Sentiment Dictionaries via Triangulation
Authors: STEINBERGER JOSEFEBRAHIM MOHAMEDEHRMANN MAUDHÜRRIYETOĞLU ALIKABADJOV MIJAILLENKOVA POLINASTEINBERGER RalfTANEV HristoVÁZQUEZ SilviaZAVARELLA Vanni
Citation: DECISION SUPPORT SYSTEMS vol. 53 no. 4 p. 689-654
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2012
JRC Publication N°: JRC65732
ISSN: 0167-9236
URI: http://www.sciencedirect.com/science/article/pii/S0167923612001406
http://publications.jrc.ec.europa.eu/repository/handle/JRC65732
DOI: 10.1016/j.dss.2012.05.029
Type: Articles in Journals
Abstract: The 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.
JRC Institute:Institute for the Protection and Security of the Citizen

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