text: ***C-value-based filtering***
  ***Linguistic-based filtering***
  ***TF-IDF value-based filtering***
  
  Our implementation is largely based on the**Python NLP**
  **library spaCy**. The text processing on spaCy helps us 
  work with data in**many different languages**while 
  staying flexible on the methods used. The only constraint 
  is to end up with a list of**spaCy Doc objects**. 
  
  Term Extraction 
  
  ***Embedding-based similar term extraction***
  ***ConceptNet synonym extraction***
  ***WordNet synonym extraction***
  
  Term Enrichment 
  
  ***ConceptNet-based extraction***
  ***Grouping terms based on synonyms***
  ***Term cooccurrences-based extraction***
  ***Similarity-based extraction***
  *Formal concept Analysis*
  
  **OLAF**
  
  Concept/Relation 
  Extraction 
  
  ***Term subsumption algorithm***
  *Hierarchical clustering* Different**serialization techniques**can be used to export and 
  leverage the learned ontology in an application system. 
  Hierarchisation 