Comparing BERT against traditional machine learning text classification.
Santiago González-CarvajalEduardo C. Garrido-MerchánPublished in: CoRR (2020)
Keyphrases
- text classification
- machine learning
- bag of words
- feature selection
- text mining
- text categorization
- feature engineering
- sentiment analysis
- text documents
- n gram
- document classification
- text classifiers
- labeled data
- computer science
- reinforcement learning
- naive bayes
- information extraction
- knn
- unsupervised learning
- unlabeled data
- data mining
- decision trees
- data cleaning
- machine learning methods
- learning tasks
- feature extraction
- support vector
- explanation based learning
- text data
- active learning
- inductive learning
- knowledge representation
- transfer learning
- multi label
- information retrieval
- learning systems
- machine learning algorithms
- knowledge base