Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.
Eyal ShnarchAlon HalfonAriel GeraMarina DanilevskyYannis KatsisLeshem ChoshenMartin Santillán CooperDina EpelboimZheng ZhangDakuo WangLucy YipLiat Ein-DorLena DankinIlya ShnaydermanRanit AharonovYunyao LiNaftali LibermanPhilip Levin SlesarevGwilym NewtonShila Ofek-KoifmanNoam SlonimYoav KatzPublished in: CoRR (2022)
Keyphrases
- class labels
- training data
- semantic labels
- labeling effort
- label noise
- active learning
- training set
- multi label classification
- multi label
- training examples
- unlabeled data
- active learner
- labeled data
- text classifiers
- information retrieval
- labeled images
- semi supervised learning
- feature space
- feature set
- keywords
- classification algorithm
- text retrieval
- supervised learning
- training samples
- support vector machine
- support vector
- learning algorithm
- lexical features
- feature selection
- prior knowledge
- classification process
- text data
- classification method
- labeled examples
- decision trees
- co training
- partially labeled
- text documents
- text classification
- data sets