Towards Machine Learning Explainability in Text Classification for Fake News Detection.
Lukas KurasinskiRadu-Casian MihailescuPublished in: ICMLA (2020)
Keyphrases
- text classification
- machine learning
- feature engineering
- text categorization
- feature selection
- labeled data
- text mining
- text documents
- automatic detection
- naive bayes
- n gram
- text data
- bag of words
- false positives
- unlabeled data
- news articles
- detection algorithm
- detection method
- data mining
- semantic features
- object detection
- knn
- decision trees
- information retrieval
- information extraction
- multi label
- text classifiers
- artificial intelligence
- pattern recognition
- false alarms
- feature space
- learning algorithm
- data cleaning
- data quality
- anomaly detection
- learning tasks
- active learning
- knowledge acquisition