A pipeline and comparative study of 12 machine learning models for text classification.
Annalisa OcchipintiLouis RogersClaudio AngionePublished in: CoRR (2022)
Keyphrases
- comparative study
- machine learning models
- text classification
- spam filtering
- machine learning
- feature selection
- naive bayes
- machine learning algorithms
- text categorization
- text mining
- machine learning approaches
- knn
- labeled data
- multi label
- unlabeled data
- transfer learning
- learning models
- pairwise
- unsupervised learning
- k nearest neighbor
- image segmentation
- neural network