Combine clustering and frequent itemsets mining to enhance biomedical text summarization.
Oussama RouaneHacene BelhadefMustapha BouakkazPublished in: Expert Syst. Appl. (2019)
Keyphrases
- text summarization
- information extraction
- frequent itemsets mining
- named entity recognition
- natural language processing
- multi document summarization
- clustering algorithm
- automatic text summarization
- frequent itemsets
- text mining
- text segments
- query expansion
- named entities
- cluster analysis
- data pre processing
- k means
- automatic summarization
- frequent closed itemsets
- co occurrence
- itemsets
- data mining tasks
- data analysis
- data mining