Integrating Background Knowledge into Nearest-Neighbor Text Classification.
Sarah ZelikovitzHaym HirshPublished in: ECCBR (2002)
Keyphrases
- background knowledge
- text classification
- nearest neighbor
- knn
- labeled data
- k nearest neighbor
- inductive logic programming
- domain knowledge
- logic programs
- text categorization
- high dimensional data
- representation language
- unlabeled data
- bag of words
- high dimensional
- text mining
- knowledge base
- n gram
- semi supervised learning
- prior knowledge
- feature selection
- machine learning
- domain theory
- positive examples
- semantic features
- training set
- semantic information
- semi supervised clustering
- ontology learning
- additional knowledge
- neural network
- classification rules
- data points
- pairwise
- data mining
- data sets
- world knowledge