Social analysis of young Basque-speaking communities in twitter

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.

KEYWORDS:

• Computational social science
• cultural analytics
• natural language processing
• basque language
• demographic analysis
• social media

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 https://github.com/ixa-ehu/heldugazte-corpus

2 http://ixa2.si.ehu.es/heldugazte-corpus/heldugazte-osoa.tar.gz

3 https://github.com/ixa-ehu/heldugazte-corpus

Additional information

Funding

This work has been partially funded by the Spanish Ministry of Science and Innovation (DeepReading RTI2018-096846-B-C21, MCIU/AEI/FEDER, UE), Ayudas Fundación BBVA a Equipos de Investigación Científica 2018 (BigKnowledge), and DeepText (KK-2020/00088), funded by the Basque Government. Rodrigo Agerri is also funded by the RYC-2017-23647 fellowship and acknowledges the donation of a Titan V GPU by the NVIDIA Corporation.