Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks.
Nils WittChristin SeifertPublished in: TPDL (2017)
Keyphrases
- hyperparameters
- text classification tasks
- model selection
- text classifiers
- cross validation
- closed form
- text classification
- support vector
- random sampling
- bayesian framework
- bayesian inference
- sample size
- maximum a posteriori
- incomplete data
- em algorithm
- noise level
- text documents
- gaussian process
- gaussian processes
- maximum likelihood
- text mining
- prior information
- text collections
- text categorization
- incremental learning
- active learning
- bag of words
- textual data
- feature engineering
- machine learning
- image classification
- data sets
- sentiment classification
- support vector machine
- information extraction