Social analysis of young Basque-speaking communities in twitter.
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| Title: | Social analysis of young Basque-speaking communities in twitter. |
|---|---|
| Authors: | Fernandez de Landa, Joseba1 joseba.fernandezdelanda@ehu.eus, Agerri, Rodrigo1 rodrigo.agerri@ehu.eus |
| Source: | Journal of Multilingual & Multicultural Development. Mar2026, Vol. 47 Issue 2, p755-769. 15p. |
| Subject Terms: | *Social media, Basque language, Social informatics, Natural language processing |
| Reviews & Products: | Twitter (Web resource) |
| Abstract: | In this paper, we take into account both social and linguistic aspects to perform demographic analysis by processing a large amount of tweets in Basque language. The study of demographic characteristics and social relationships are approached by applying machine learning and modern deep-learning Natural Language Processing (NLP) techniques, combining social sciences with automatic text processing. More specifically, our main objective is to combine demographic inference and social analysis in order to detect young Basque Twitter users and to identify the communities that arise from their relationships or shared content. This social and demographic analysis will be entirely based on the automatically collected tweets using NLP to convert unstructured textual information into interpretable knowledge. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Multilingual & Multicultural Development is the property of Taylor & Francis Ltd 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: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 191984972 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Social analysis of young Basque-speaking communities in twitter. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fernandez+de+Landa%2C+Joseba%22">Fernandez de Landa, Joseba</searchLink><relatesTo>1</relatesTo><i> joseba.fernandezdelanda@ehu.eus</i><br /><searchLink fieldCode="AR" term="%22Agerri%2C+Rodrigo%22">Agerri, Rodrigo</searchLink><relatesTo>1</relatesTo><i> rodrigo.agerri@ehu.eus</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Multilingual+%26+Multicultural+Development%22">Journal of Multilingual & Multicultural Development</searchLink>. Mar2026, Vol. 47 Issue 2, p755-769. 15p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Basque+language%22">Basque language</searchLink><br /><searchLink fieldCode="DE" term="%22Social+informatics%22">Social informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we take into account both social and linguistic aspects to perform demographic analysis by processing a large amount of tweets in Basque language. The study of demographic characteristics and social relationships are approached by applying machine learning and modern deep-learning Natural Language Processing (NLP) techniques, combining social sciences with automatic text processing. More specifically, our main objective is to combine demographic inference and social analysis in order to detect young Basque Twitter users and to identify the communities that arise from their relationships or shared content. This social and demographic analysis will be entirely based on the automatically collected tweets using NLP to convert unstructured textual information into interpretable knowledge. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Multilingual & Multicultural Development is the property of Taylor & Francis Ltd 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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01434632.2021.1962331 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 755 Subjects: – SubjectFull: Social media Type: general – SubjectFull: Basque language Type: general – SubjectFull: Social informatics Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Twitter (Web resource) Type: general Titles: – TitleFull: Social analysis of young Basque-speaking communities in twitter. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fernandez de Landa, Joseba – PersonEntity: Name: NameFull: Agerri, Rodrigo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01434632 Numbering: – Type: volume Value: 47 – Type: issue Value: 2 Titles: – TitleFull: Journal of Multilingual & Multicultural Development Type: main |
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