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Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted...

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Detalles Bibliográficos
Autores principales: Dashtipour, Kia, Poria, Soujanya, Hussain, Amir, Cambria, Erik, Hawalah, Ahmad Y. A., Gelbukh, Alexander, Zhou, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981629/
https://www.ncbi.nlm.nih.gov/pubmed/27563360
http://dx.doi.org/10.1007/s12559-016-9415-7
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author Dashtipour, Kia
Poria, Soujanya
Hussain, Amir
Cambria, Erik
Hawalah, Ahmad Y. A.
Gelbukh, Alexander
Zhou, Qiang
author_facet Dashtipour, Kia
Poria, Soujanya
Hussain, Amir
Cambria, Erik
Hawalah, Ahmad Y. A.
Gelbukh, Alexander
Zhou, Qiang
author_sort Dashtipour, Kia
collection PubMed
description With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted to English-language data, while a great share of information is available in other languages. We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the lack of detail in the original presentation of those approaches. Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results.
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spelling pubmed-49816292016-08-23 Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques Dashtipour, Kia Poria, Soujanya Hussain, Amir Cambria, Erik Hawalah, Ahmad Y. A. Gelbukh, Alexander Zhou, Qiang Cognit Comput Article With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted to English-language data, while a great share of information is available in other languages. We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the lack of detail in the original presentation of those approaches. Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results. Springer US 2016-06-01 2016 /pmc/articles/PMC4981629/ /pubmed/27563360 http://dx.doi.org/10.1007/s12559-016-9415-7 Text en © The Author(s) 2016 Open AccessThis 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.
spellingShingle Article
Dashtipour, Kia
Poria, Soujanya
Hussain, Amir
Cambria, Erik
Hawalah, Ahmad Y. A.
Gelbukh, Alexander
Zhou, Qiang
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title_full Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title_fullStr Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title_full_unstemmed Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title_short Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
title_sort multilingual sentiment analysis: state of the art and independent comparison of techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981629/
https://www.ncbi.nlm.nih.gov/pubmed/27563360
http://dx.doi.org/10.1007/s12559-016-9415-7
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