def get_similar_word_array(self, tag): formatted_word = db_tools.wordnet_formatted(tag) # pprint_object(formatted_word) alternative_words = db_tools.list_wordnet_links(formatted_word[1]['synset']) # pprint_object(alternative_words) word_list = [] for word in alternative_words: word_list.append(word[0]) # self.pprint_object(word_list) return word_list
def alt_tags(tag_text, image, user): tag_synset = None if len(tag_text) == 1: return synsets = catch_edge_cases(tag_text) if synsets is None: stem = wn.morphy(tag_text.lower()) if stem is not None: tag_text = stem synsets = db_tools.wordnet_formatted(tag_text) print tag_text for synset in synsets: if synset['label'] == tag_text.lower() and synset['sensenum'] == 1 and '.n.' in synset['synset']: print pprint.pformat(synset) tag_synset = synset['synset'] else: if len(synsets) > 0: tag_synset = synsets[0]['synset'] if tag_synset is not None: alternative_words = db_tools.list_wordnet_links(tag_synset)[::-1] for index, weighted_word in enumerate(alternative_words): word = weighted_word[0] print word tag_order = str((int(clean(str(0), strip=True)) + 1) * 100) tag_hyp_dist = int(weighted_word[1][0]) + 1 tag_syn_val = int(weighted_word[1][1]) + 1 tag_order += str(tag_hyp_dist * 100) + str(tag_syn_val * 100) print tag_order write_tag(word, image, user, tag_order=tag_order)
def test_wordnet(): t = wordnet_formatted('napk') print len(t) print connections['default'].queries