Multilingual sentiment analysis: from formal to informal and scarce resource languages.
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| Title: | Multilingual sentiment analysis: from formal to informal and scarce resource languages. |
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| Authors: | Lo, Siaw1, Cambria, Erik2 cambria@ntu.edu.sg, Chiong, Raymond1, Cornforth, David1 |
| Source: | Artificial Intelligence Review. Dec2017, Vol. 48 Issue 4, p499-527. 29p. |
| Subjects: | Multilingual computing, Social media, Language & languages, Electronic information resources, Multilingualism |
| Abstract: | The ability to analyse online user-generated content related to sentiments (e.g., thoughts and opinions) on products or policies has become a de-facto skillset for many companies and organisations. Besides the challenge of understanding formal textual content, it is also necessary to take into consideration the informal and mixed linguistic nature of online social media languages, which are often coupled with localised slang as a way to express 'true' feelings. Due to the multilingual nature of social media data, analysis based on a single official language may carry the risk of not capturing the overall sentiment of online content. While efforts have been made to understand multilingual sentiment analysis based on a range of informal languages, no significant electronic resource has been built for these localised languages. This paper reviews the various current approaches and tools used for multilingual sentiment analysis, identifies challenges along this line of research, and provides several recommendations including a framework that is particularly applicable for dealing with scarce resource languages. [ABSTRACT FROM AUTHOR] |
| Copyright of Artificial Intelligence Review is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-016-9508-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 499 Subjects: – SubjectFull: Multilingual computing Type: general – SubjectFull: Social media Type: general – SubjectFull: Language & languages Type: general – SubjectFull: Electronic information resources Type: general – SubjectFull: Multilingualism Type: general Titles: – TitleFull: Multilingual sentiment analysis: from formal to informal and scarce resource languages. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lo, Siaw – PersonEntity: Name: NameFull: Cambria, Erik – PersonEntity: Name: NameFull: Chiong, Raymond – PersonEntity: Name: NameFull: Cornforth, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 48 – Type: issue Value: 4 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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