From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning.
Niklas StoehrLuis SanchezDaniil GannotaFabian FalckPublished in: SNAMS (2019)
Keyphrases
- transfer learning
- classification models
- models built
- text mining
- knowledge transfer
- cross domain
- learning tasks
- reinforcement learning
- feature selection
- active learning
- labeled data
- decision trees
- machine learning
- collaborative filtering
- training data
- transfer knowledge
- domain adaptation
- learning models
- database
- machine learning algorithms
- semi supervised learning
- information retrieval
- text categorization
- text classification
- target domain
- transferring knowledge
- multi task
- learning problems
- unlabeled data
- data mining