A TF-IDF and Co-occurrence Based Approach for Events Extraction from Arabic News Corpus.
Amina ChouiguiOussama Ben KhirounBilel ElayebPublished in: NLDB (2018)
Keyphrases
- co occurrence
- tf idf
- named entities
- text documents
- wordnet
- vector space model
- information retrieval
- news articles
- term frequency
- text categorization
- semantic similarity
- term weighting
- document clustering
- retrieval model
- topic models
- ranking algorithm
- information extraction
- semantic relations
- query terms
- text corpus
- text mining
- machine learning
- web documents
- named entity recognition
- information retrieval systems
- natural language
- automatic summarization