Social Analysis of Young Basque Speaking Communities in Twitter

09/08/2021
by   J. Fernandez de Landa, et al.
0

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.

READ FULL TEXT
research
04/17/2023

Use of social media and Natural Language Processing (NLP) in natural hazard research

Twitter is a microblogging service for sending short, public text messag...
research
04/15/2019

Characterization of citizens using word2vec and latent topic analysis in a large set of tweets

With the increasing use of the Internet and mobile devices, social netwo...
research
01/18/2016

Probabilistic Inference of Twitter Users' Age based on What They Follow

Twitter provides an open and rich source of data for studying human beha...
research
01/26/2022

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data

Twitter data have become essential to Natural Language Processing (NLP) ...
research
07/08/2015

Generating Navigable Semantic Maps from Social Sciences Corpora

It is now commonplace to observe that we are facing a deluge of online i...
research
06/13/2020

Through the Twitter Glass: Detecting Questions in Micro-Text

In a separate study, we were interested in understanding people's Q A ...

Please sign up or login with your details

Forgot password? Click here to reset