From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning.

Niklas Stoehr Luis Sanchez Daniil Gannota Fabian Falck

Published 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