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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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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. |
format | Online Article Text |
id | pubmed-4981629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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