A Survey of Active Learning for Text Classification using Deep Neural Networks.
Christopher SchröderAndreas NieklerPublished in: CoRR (2020)
Keyphrases
- text classification
- active learning
- neural network
- labeled data
- machine learning
- text categorization
- unlabeled data
- feature selection
- text mining
- bag of words
- naive bayes
- transfer learning
- knn
- fuzzy logic
- pattern recognition
- text documents
- text classification tasks
- random sampling
- selective sampling
- back propagation
- learning algorithm
- n gram
- artificial neural networks
- text classifiers
- semi supervised learning
- feed forward
- sentiment analysis
- batch mode
- semi supervised
- relevance feedback
- supervised learning
- data cleaning
- learning strategies
- training examples
- training set
- neural network model
- multilayer perceptron
- neural nets
- semantic features
- pool based active learning
- multi layer
- self organizing maps
- class labels
- unsupervised learning
- knowledge discovery
- genetic algorithm
- information retrieval
- data mining