Making sense of the black-boxes: Toward interpretable text classification using deep learning models.
Jie TaoLina ZhouKevin HickeyPublished in: J. Assoc. Inf. Sci. Technol. (2023)
Keyphrases
- learning models
- black boxes
- text classification
- machine learning
- black box
- semi supervised learning
- learning algorithm
- learning tasks
- labeled data
- text categorization
- machine learning algorithms
- loss function
- learning problems
- text mining
- feature selection
- conditional random fields
- multi label
- data mining
- unlabeled data
- support vector machine
- classification models
- data sets
- k nearest neighbor
- supervised learning
- semi supervised
- knn
- kernel methods
- probabilistic model
- high dimensional
- image segmentation
- e learning