returns tuple of scored sentences
       in order of appearance
       Note: Doing an A/B test to
       compare results, reverting to 
       original algorithm.

def _intertext_score(full_text):
    '''returns tuple of scored sentences
       in order of appearance
       Note: Doing an A/B test to
       compare results, reverting to 
       original algorithm.'''

    sentences = sentence_tokenizer(full_text)
    norm = _normalize(sentences)
    similarity_matrix = pairwise_kernels(norm, metric='cosine')
    scores = _textrank(similarity_matrix)
    scored_sentences = []
    for i, s in enumerate(sentences):
        scored_sentences.append((scores[i],i,s))
    top_scorers = sorted(scored_sentences,
                         key=lambda tup: tup[0], 
                         reverse=True)
    return top_scorers