print()
print("TF-IDF + IncrementalPCA")

tfidf_vect = feature_extraction.text.TfidfVectorizer(stop_words=stoplist)
tfidf_vect.fit(docs)
features = tfidf_vect.get_feature_names()

tfidf = tfidf_vect.transform(docs)
tfidf_lsi = decomposition.IncrementalPCA(n_components=2)
tfidf_lsi.fit(tfidf.toarray())

print_topic_cloud(tfidf_lsi.components_,features, max_words)