Meta learning with language models: Challenges and opportunities in the classification of imbalanced text.
Apostol VassilevHonglan JinMunawar HasanPublished in: CoRR (2023)
Keyphrases
- language model
- meta learning
- information retrieval
- machine learning algorithms
- language modeling
- model selection
- n gram
- decision trees
- document retrieval
- probabilistic model
- inductive learning
- learning tasks
- machine learning
- feature selection
- image classification
- class labels
- test collection
- retrieval model
- query expansion
- language models for information retrieval
- text mining
- classification accuracy
- feature extraction
- data mining
- unsupervised learning
- e learning
- support vector machine
- svm classifier
- text classification
- machine learning methods
- support vector
- text documents
- smoothing methods
- keywords
- feature space
- feature vectors
- recommender systems
- multi class
- training samples
- feature set