def __init__(self, initializer):
preprocessed_documents = initializer.getPreprocessedDocuments()
dictionary = initializer.getDictionary()
corpus = [dictionary.doc2bow(text) for text in preprocessed_documents]
tf_idf = initializer.getTfIdf()
query_doc_tf_idf = tf_idf[dictionary.doc2bow(
preprocessed_documents[0])]
similarity_object = Similarity('tfidf',
tf_idf[corpus],
num_features=len(dictionary))
similarities = similarity_object[query_doc_tf_idf]
similarity_object.destroy()
self.scores = similarities[1:len(similarities)]
