Selecting Documents Relevant for Chemistry as a Classification Problem.
Zhemin ZhuSaber A. AkhondiUmesh NandalMarius A. DoornenbalMichelle GregoryPublished in: EKAW (Satellite Events) (2016)
Keyphrases
- document classification
- highly relevant
- pattern recognition
- information retrieval systems
- machine learning
- document categorization
- support vector
- pattern classification
- classification accuracy
- classification method
- benchmark datasets
- support vector machine svm
- information retrieval
- pre classified
- classification scheme
- web documents
- training set
- document collections
- automatic categorization
- decision trees
- feature extraction
- automatic classification
- document retrieval
- text documents
- xml documents
- classification algorithm
- support vector machine
- feature space
- class labels
- multi document summarization
- document analysis
- information extraction
- metadata
- text classification
- feature selection