Gender prediction using limited Twitter Data

Transformer models have shown impressive performance on a variety of NLP tasks. Off-the-shelf, pre-trained models can be fine-tuned for specific NLP classification tasks, reducing the need for large amounts of additional training data. However, little research has addressed how much data is required...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	Burghoorn, Maaike, Maaike H T de Boer, Raaijmakers, Stephan
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Digital media Gender
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!