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Dutch Sarcasm Detector

Developed by helinivan
A Dutch text classification model based on BERT architecture for detecting sarcasm in news headlines
Downloads 29
Release Time : 11/4/2022

Model Overview

This model is specifically designed to identify sarcastic content in Dutch news headlines. Fine-tuned from GroNLP/bert-base-dutch-cased, it is suitable for media content analysis and social media monitoring

Model Features

Multi-source data training
Trained using a combination of Kaggle standard datasets and scraped data from the satirical newspaper De Speld
High-performance classification
Achieves an F1 score of 83.02 on Dutch sarcasm detection tasks
Integrated preprocessing
Built-in text preprocessing including lowercase conversion and punctuation handling

Model Capabilities

Dutch text classification
Sarcasm content recognition
News headline analysis

Use Cases

Media content analysis
Satirical news detection
Identifying sarcastic headline content in news media
Accuracy 86.81%
Social media monitoring
User comment analysis
Detecting sarcastic comments from users on social media
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