Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling.
Nabil AlamiMohammed MeknassiNoureddine EnnahnahiYassine El AdlouniOuafae AmmorPublished in: Expert Syst. Appl. (2021)
Keyphrases
- topic modeling
- document clustering
- text summarization
- topic extraction
- text mining
- information extraction
- natural language processing
- text documents
- neural network
- named entity recognition
- topic models
- named entities
- automatic summarization
- text classification
- document representation
- latent dirichlet allocation
- text analysis
- multi document summarization
- vector space model
- collaborative filtering
- document collections
- tf idf
- question answering
- knowledge discovery
- cross lingual
- information retrieval
- data mining
- automatic text summarization
- databases
- query expansion
- clustering algorithm
- news articles
- feature selection
- machine learning
- text categorization
- wordnet
- co occurrence
- natural language