STORRE STORRE: Stirling Online Research Repository STORRE (/) / Faculty of Natural Sciences (/handle/1893/2670) / Computing Science and Mathematics (/handle/1893/35) / Computing Science and Mathematics Journal Articles (/handle/1893/216)
Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23283 0
(https://www.altmetric.com/details.php?domain=dspace.stir.ac.uk&citation_id=8829405)
Full metadata record DC Field
Value
Language
dc.contributor.author
Dashtipour, Kia
-
dc.contributor.author
Poria, Soujanya
-
dc.contributor.author
Hussain, Amir
-
dc.contributor.author
Cambria, Erik
-
dc.contributor.author
Hawalah, Ahmad Y A
-
dc.contributor.author
Gelbukh, Alexander
-
dc.contributor.author
Zhou, Qiang
-
dc.date.accessioned
2017-11-10T03:26:32Z
-
dc.date.available
2017-11-10T03:26:32Z
-
dc.date.issued
2016-08
-
dc.identifier.uri
http://hdl.handle.net/1893/23283
-
dc.description.abstract
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.
en_UK
dc.language.iso
en
-
dc.publisher
Springer
-
dc.relation
Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AYA, Gelbukh A & Zhou Q (2016) Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques, Cognitive Computation, 8 (4), pp. 757-771.
-
dc.rights
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.
-
dc.subject
Artificial intelligence
en_UK
dc.subject
Natural language processing
en_UK
dc.subject
Opinion mining
en_UK
dc.subject
Sentic computing
en_UK
dc.subject
Sentiment Analysis
en_UK
dc.title
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
en_UK
dc.type
Journal Article
en_UK
dc.identifier.doi
http://dx.doi.org/10.1007/s12559-016-9415-7
-
dc.citation.jtitle
Cognitive Computation
-
dc.citation.issn
1866-9956
-
dc.citation.volume
8
-
dc.citation.issue
4
-
dc.citation.spage
757
-
dc.citation.epage
771
-
dc.citation.publicationstatus
Published
-
dc.citation.peerreviewed
Refereed
-
dc.type.status
Publisher version (final published refereed version)
-
dc.author.email
[email protected]
-
dc.citation.date
01/06/2016
-
dc.contributor.affiliation
Computing Science - CSM Dept
-
dc.contributor.affiliation
Nanyang Technological University
-
dc.contributor.affiliation
Computing Science - CSM Dept
-
dc.contributor.affiliation
Nanyang Technological University
-
dc.contributor.affiliation
Taibah University
-
dc.contributor.affiliation
National Polytechnic Institute
-
dc.contributor.affiliation
Tsinghua University
-
dc.identifier.isi
000382169800017
-
Appears in Collections:
Computing Science and Mathematics Journal Articles (/handle/1893/216)
Files in This Item: File
Description
art%3A10.1007%2Fs12559-016-9415-7.pdf (/bitstream/1893/23283/1/art%253A10.1007%252Fs12559016-9415-7.pdf)
Size
Format
630.87 kB
Adobe PDF
View/Open (/bitstream/1893/23283/1/art%253A10.1007%252Fs12559-016-9415-7.pd
This item is protected by original copyright View License (/retrieve/124548/license.txt)
Show simple item record (/handle/1893/23283?mode=simple)
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated. If you believe that any material held in STORRE infringes copyright, please contact
[email protected] (mailto:
[email protected]) providing details and we will remove the Work from public display in STORRE and investigate your claim.