Stance Classification of Social Media Texts for Under-Resourced Scenarios in Social Sciences

Stance Classification of Social Media Texts for Under-Resourced Scenarios in Social Sciences

In this work, we explore the performance of supervised stance classification methods for social media texts in under-resourced languages and using limited amounts of labeled data. In particular, we focus specifically on the possibilities and limitations of the application of classic machine learning...

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Bibliographic Details
Main Authors: Victoria Yantseva, Kostiantyn Kucher
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Data
Subjects:
text mining
machine learning
deep learning
neural networks
stance classification
computational social science
Online Access:https://www.mdpi.com/2306-5729/7/11/159

Internet

https://www.mdpi.com/2306-5729/7/11/159

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