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Creating sentiment dictionaries via triangulation

Authors:

Josef Steinberger,

Mohamed Ebrahim,

Ali Hurriyetoglu,

Mijail Kabadjov,

Polina Lenkova,

Ralf Steinberger,

Silvia VáZquez,

Vanni ZavarellaAuthors Info & Claims

Decision Support Systems, Volume 53, Issue 4

Pages 689 - 694

https://doi.org/10.1016/j.dss.2012.05.029

Published: 01 November 2012 Publication History

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.

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Cited By

Ullah AKhan SNawi N(2022)Review on sentiment analysis for text classification techniques from 2010 to 2021Multimedia Tools and Applications10.1007/s11042-022-14112-382:6(8137-8193)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s11042-022-14112-3
Yalkun ESlamu WTurhuntay R(2021)A mixed approach of statistical weighting method and unsupervised method to improve Uyghur sentiment classificationJournal of Computational Methods in Sciences and Engineering10.3233/JCM-20464521:4(829-851)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JCM-204645
Kaity MBalakrishnan V(2020)An integrated semi-automated framework for domain-based polarity words extraction from an unannotated non-English corpusThe Journal of Supercomputing10.1007/s11227-020-03222-076:12(9772-9799)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11227-020-03222-0
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Information

Published In

cover image Decision Support Systems

Decision Support Systems Volume 53, Issue 4

November, 2012

229 pages

ISSN:0167-9236

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2012.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 November 2012

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Cited By

Ullah AKhan SNawi N(2022)Review on sentiment analysis for text classification techniques from 2010 to 2021Multimedia Tools and Applications10.1007/s11042-022-14112-382:6(8137-8193)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s11042-022-14112-3
Yalkun ESlamu WTurhuntay R(2021)A mixed approach of statistical weighting method and unsupervised method to improve Uyghur sentiment classificationJournal of Computational Methods in Sciences and Engineering10.3233/JCM-20464521:4(829-851)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JCM-204645
Kaity MBalakrishnan V(2020)An integrated semi-automated framework for domain-based polarity words extraction from an unannotated non-English corpusThe Journal of Supercomputing10.1007/s11227-020-03222-076:12(9772-9799)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1007/s11227-020-03222-0
Lehečka JŠvec JIrcing PŠmídl L(2020)BERT-Based Sentiment Analysis Using DistillationStatistical Language and Speech Processing10.1007/978-3-030-59430-5_5(58-70)Online publication date: 14-Oct-2020
https://dl.acm.org/doi/10.1007/978-3-030-59430-5_5
Kaity MBalakrishnan V(2019)An automatic non-English sentiment lexicon builder using unannotated corpusThe Journal of Supercomputing10.1007/s11227-019-02755-375:4(2243-2268)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11227-019-02755-3
Phu VChau VTran VDat N(2018)A Vietnamese adjective emotion dictionary based on exploitation of Vietnamese language characteristicsArtificial Intelligence Review10.1007/s10462-017-9538-650:1(93-159)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s10462-017-9538-6
Becker KMoreira Vdos Santos A(2017)Multilingual emotion classification using supervised learningInformation Processing and Management: an International Journal10.1016/j.ipm.2016.12.00853:3(684-704)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1016/j.ipm.2016.12.008
Phu VChau VTran V(2017)Shifting semantic values of English phrases for classificationInternational Journal of Speech Technology10.1007/s10772-017-9420-620:3(509-533)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s10772-017-9420-6
Blaz CBecker KKim MRobbes RBird C(2016)Sentiment analysis in tickets for IT supportProceedings of the 13th International Conference on Mining Software Repositories10.1145/2901739.2901781(235-246)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2901739.2901781
Wu FHuang YSong YLiu S(2016)Towards building a high-quality microblog-specific Chinese sentiment lexiconDecision Support Systems10.1016/j.dss.2016.04.00787:C(39-49)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.dss.2016.04.007
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