Creating sentiment dictionaries via triangulation

Authors:
Josef Steinberger;Polina Lenkova;Mohamed Ebrahim;Maud Ehrmann;Ali Hurriyetoglu;Mijail Kabadjov;Ralf Steinberger;Hristo Tanev;Vanni Zavarella;Silvia Vázquez
Affiliations:
EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;EC Joint Research Centre, Ispra (VA), Italy;Universitat Pompeu Fabra, Roc Boronat, Barcelona
Venue:
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Year:
2011

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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.