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Building and evaluating resources for sentiment analysis in the Greek language

Tsakalidis, Adam; Papadopoulos, Symeon; Voskaki, Rania; Ioannidou, Kyriaki; Boididou, Christina; Cristea, A.I.; Liakata, Maria; Kompatsiaris, Yiannis

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Authors

Adam Tsakalidis

Symeon Papadopoulos

Rania Voskaki

Kyriaki Ioannidou

Christina Boididou

Maria Liakata

Yiannis Kompatsiaris



Abstract

Sentiment lexicons and word embeddings constitute well-established sources of information for sentiment analysis in online social media. Although their effectiveness has been demonstrated in state-of-the-art sentiment analysis and related tasks in the English language, such publicly available resources are much less developed and evaluated for the Greek language. In this paper, we tackle the problems arising when analyzing text in such an under-resourced language. We present and make publicly available a rich set of such resources, ranging from a manually annotated lexicon, to semi-supervised word embedding vectors and annotated datasets for different tasks. Our experiments using different algorithms and parameters on our resources show promising results over standard baselines; on average, we achieve a 24.9% relative improvement in F-score on the cross-domain sentiment analysis task when training the same algorithms with our resources, compared to training them on more traditional feature sources, such as n-grams. Importantly, while our resources were built with the primary focus on the cross-domain sentiment analysis task, they also show promising results in related tasks, such as emotion analysis and sarcasm detection.

Citation

Tsakalidis, A., Papadopoulos, S., Voskaki, R., Ioannidou, K., Boididou, C., Cristea, A., …Kompatsiaris, Y. (2018). Building and evaluating resources for sentiment analysis in the Greek language. Language Resources and Evaluation, 52(4), 1021-1044. https://doi.org/10.1007/s10579-018-9420-4

Journal Article Type Article
Acceptance Date Jul 4, 2018
Online Publication Date Jul 14, 2018
Publication Date Dec 1, 2018
Deposit Date Aug 2, 2018
Publicly Available Date Aug 2, 2018
Journal Language Resources and Evaluation
Print ISSN 1574-020X
Electronic ISSN 1574-0218
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 52
Issue 4
Pages 1021-1044
DOI https://doi.org/10.1007/s10579-018-9420-4

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Advance online version © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.







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