# installation
$ pip install spacy
$ python -m spacy download en_core_web_leg
# Python minimal script
import spacy
nlp = spacy.load("en_core_web_lg") # the pretrained model
doc = nlp("Here is my sentence!")
print(doc[0].vector) # print the embedder of the first word (index 0)
final_embeddings = CF_IDF_BOC(all_doc_emb , alpha , centers)
# installation
$ pip install spacy
$ python -m spacy download en_core_web_leg
# Python minimal script
import spacy
nlp = spacy.load("en_core_web_lg") # the pretrained model
doc = nlp("Here is my sentence!")
print(doc[0].vector) # print the embedder of the first word (index 0)
final_embeddings = CF_IDF_BOC(all_doc_emb , alpha , centers)