"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach.
Leila ArrasFranziska HornGrégoire MontavonKlaus-Robert MüllerWojciech SamekPublished in: CoRR (2016)
Keyphrases
- text documents
- machine learning
- text mining
- text classification
- automatic text categorization
- information extraction
- text categorization
- document classification
- document clustering
- feature selection
- artificial intelligence
- data sets
- data mining
- semi supervised learning
- bag of words
- knowledge discovery
- text databases
- text collections
- topic modeling
- textual information
- term frequency
- text data
- decision trees
- keywords
- learning algorithm
- neural network
- named entities
- unsupervised learning
- natural language processing
- pairwise
- active learning