Text length considered adaptive bagging ensemble learning algorithm for text classification.
Youwei WangJiangchun LiuLizhou FengPublished in: Multim. Tools Appl. (2023)
Keyphrases
- text classification
- learning algorithm
- ensemble methods
- ensemble learning
- text data
- text documents
- text mining
- machine learning
- base learners
- unlabeled data
- base classifiers
- random forest
- generalization ability
- feature selection
- text classifiers
- ensemble classification
- bag of words
- naive bayes
- imbalanced data
- labeled data
- random forests
- training data
- training set
- majority voting
- classifier ensemble
- machine learning algorithms
- generalization error
- ensemble members
- learning scheme
- active learning
- machine learning methods
- ensemble selection
- class label noise
- neural network
- multi label
- supervised learning
- ensemble classifier
- text categorization
- learning tasks
- information retrieval
- randomized trees
- model averaging
- back propagation
- sentiment analysis
- tree ensembles
- semi supervised learning
- prediction accuracy
- semantic features
- n gram
- classification algorithm
- decision trees
- training samples
- keywords
- learning machines
- classification accuracy
- automatic text classification