Small-text: Active Learning for Text Classification in Python.
Christopher SchröderLydia MüllerAndreas NieklerMartin PotthastPublished in: CoRR (2021)
Keyphrases
- text classification
- active learning
- text data
- text mining
- text documents
- labeled data
- text classifiers
- document categorization
- naive bayes
- machine learning
- text categorization
- unlabeled data
- programming language
- text representation
- open source
- training corpus
- feature selection
- learning algorithm
- bag of words
- transfer learning
- text retrieval
- semi supervised
- sentiment classification
- open source software
- information retrieval
- training examples
- selective sampling
- semantic features
- automatic text classification
- n gram
- document classification
- cost sensitive
- semantic information
- textual data
- data sets
- small number
- information extraction
- knn
- knowledge discovery
- data points
- active learning strategies
- neural network