Social Analysis of Young Basque Speaking Communities in Twitter
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 17 of its 46 references that are in the map. First posted on arXiv 8 Sep 2021.
Builds on
17 of 46 references.
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5 more
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2023Optimal strategies to perform multilingual analysis of social content for a novel dataset in the tourism domaincited by 1
- 2024Political Leaning Inference through Plurinational Scenarioscited by 0
- 2025BERnaT: Basque Encoders for Representing Natural Textual Diversitycited by 0
- 2026A Catalog of Basque Dialectal Resources: Online Collections and Standard-to-Dialectal Adaptationscited by 0
- 2026A Catalog of Basque Dialectal Resources: Online Collections and Standard-to-Dialectal Adaptations26 Mar 2026
- 2025BERnaT: Basque Encoders for Representing Natural Textual Diversity3 Dec 2025
- 2024Political Leaning Inference through Plurinational Scenarios12 Jun 2024
- 2023Optimal strategies to perform multilingual analysis of social content for a novel dataset in the tourism domain20 Nov 2023