def build_dissimilarity_graph_using_wordnet(self, tokenised_sentence_dict):
sentence_keys = tokenised_sentence_dict.keys()
synonyms = Synonyms(tokenised_sentence_dict.values())
self.dissimilar_sentences.add_nodes(sentence_keys)
connections = ConnectedNodes()
edges = list()
for every_key, tokens in tokenised_sentence_dict.iteritems():
for other_key, other_tokens in tokenised_sentence_dict.iteritems():
if connections.not_connected(every_key, other_key):
score = synonyms.dissimilarity_score(tokens, other_tokens)
if score > self.DISSIMILARITY_THRESHOLD:
edge = (every_key, other_key, {"weight": score})
edges.append(edge)
connections.add((every_key, other_key))
self.dissimilar_sentences.add_edges(edges)
def build_dissimilarity_graph(self, tokenised_sentence_dict):
print "Building Dissimilar Sentences Graph"
sentence_keys = tokenised_sentence_dict.keys()
transformed_sentences = self.transformation(tokenised_sentence_dict)
self.dissimilar_sentences.add_nodes(sentence_keys)
connections = ConnectedNodes()
edges = list()
for every_key, tokens in tokenised_sentence_dict.iteritems():
for other_key, other_tokens in tokenised_sentence_dict.iteritems():
if connections.not_connected(every_key, other_key):
score = transformed_sentences.dissimilarity_score(tokens, other_tokens)
if score > self.DISSIMILARITY_THRESHOLD:
edge = (every_key, other_key, {"weight": score})
edges.append(edge)
connections.add((every_key, other_key))
self.dissimilar_sentences.add_edges(edges)
print "Dissimilar Sentences Graph build complete"