code: def _title_similarity_score(full_text, title):
      
  
      sentences = sentence_tokenizer(full_text)
      norm = _normalize([title]+sentences)
      similarity_matrix = pairwise_kernels(norm, metric='cosine')
      return sorted(zip(
                       similarity_matrix[0,1:],
                       range(len(similarity_matrix)),
                       sentences
                       ),
                   key = lambda tup: tup[0],
                   reverse=True
                   )
docs: Similarity scores for sentences with
         title in descending order