Beispiel #1
0
    def test_stopwords(self):
        stopword = [u'AV', u'女優']
        print(u'Stopwords Filtering Test. Stopwords is {}'.format(
            u','.join(stopword)))
        test_sentence = u"紗倉 まな(さくら まな、1993年3月23日 - )は、日本のAV女優。"
        kytea_wrapper = KyteaWrapper()
        token_objects = kytea_wrapper.tokenize(sentence=test_sentence,
                                               return_list=False,
                                               is_feature=True)
        filtered_result = kytea_wrapper.filter(parsed_sentence=token_objects,
                                               stopwords=stopword)

        check_flag = True
        print('-' * 30)
        for stem_posTuple in filtered_result.convert_list_object():
            assert isinstance(stem_posTuple, tuple)
            word_stem = stem_posTuple[0]
            word_posTuple = stem_posTuple[1]
            assert isinstance(word_stem, unicode)
            assert isinstance(word_posTuple, tuple)

            print(u'word_stem:{} word_pos:{}'.format(word_stem,
                                                     ' '.join(word_posTuple)))
            if word_stem in stopword: check_flag = False
        assert check_flag
    def test_filter_pos(self):
        """
        """
        # 'Filtering Test. POS condition is only 名詞')
        test_sentence = "紗倉 まな(さくら まな、1993年3月23日 - )は、日本のAV女優。"
        kytea_wrapper = KyteaWrapper()
        tokenized_result = kytea_wrapper.tokenize(sentence=test_sentence,
                                                  normalize=True,
                                                  return_list=False,
                                                  is_feature=True)
        pos_condition = [('名詞', )]
        filtered_result = kytea_wrapper.filter(
            parsed_sentence=tokenized_result, pos_condition=pos_condition)

        assert isinstance(filtered_result, FilteredObject)
        for t_obj in filtered_result.tokenized_objects:
            assert isinstance(t_obj, TokenizedResult)
            assert isinstance(t_obj.word_surface, str)
            assert isinstance(t_obj.word_stem, str)
            assert isinstance(t_obj.tuple_pos, tuple)
            assert isinstance(t_obj.misc_info, dict)

            assert t_obj.tuple_pos[0] == '名詞'

        for stem_posTuple in filtered_result.convert_list_object():
            assert isinstance(stem_posTuple, tuple)
            word_stem = stem_posTuple[0]
            word_posTuple = stem_posTuple[1]
            assert isinstance(word_stem, str)
            assert isinstance(word_posTuple, tuple)
    def test_tokenization(self):
        input_sentence = "紗倉 まな(さくら まな、1993年3月23日 - )は、日本のAV女優。"
        kytea_wrapper = KyteaWrapper()
        tokenized_result = kytea_wrapper.tokenize(sentence=input_sentence,
                                                  normalize=True,
                                                  return_list=False,
                                                  is_feature=True)
        assert isinstance(tokenized_result, TokenizedSenetence)
        for t_obj in tokenized_result.tokenized_objects:
            assert isinstance(t_obj, TokenizedResult)

        #print('-'*30)
        tokenized_result_list = tokenized_result.convert_list_object()
        assert isinstance(tokenized_result_list, list)
        for t_obj_tuple in tokenized_result_list:
            assert isinstance(t_obj_tuple, tuple)
Beispiel #4
0
    def test_filter_pos(self):
        """
        """
        print(u'Filtering Test. POS condition is only 名詞')
        test_sentence = u"紗倉 まな(さくら まな、1993年3月23日 - )は、日本のAV女優。"
        kytea_wrapper = KyteaWrapper()
        tokenized_result = kytea_wrapper.tokenize(sentence=test_sentence,
                                                  normalize=True,
                                                  return_list=False,
                                                  is_feature=True)

        pos_condition = [(u'名詞', )]
        filtered_result = kytea_wrapper.filter(
            parsed_sentence=tokenized_result, pos_condition=pos_condition)

        assert isinstance(filtered_result, FilteredObject)
        for t_obj in filtered_result.tokenized_objects:
            assert isinstance(t_obj, TokenizedResult)
            print(u"word_surafce:{}, word_stem:{}, pos_tuple:{}, misc_info:{}".
                  format(t_obj.word_surface, t_obj.word_stem,
                         ' '.join(t_obj.tuple_pos), t_obj.misc_info))
            assert isinstance(t_obj.word_surface, unicode)
            assert isinstance(t_obj.word_stem, unicode)
            assert isinstance(t_obj.tuple_pos, tuple)
            assert isinstance(t_obj.misc_info, dict)

            assert t_obj.tuple_pos[0] == u'名詞'

        print('-' * 30)
        for stem_posTuple in filtered_result.convert_list_object():
            assert isinstance(stem_posTuple, tuple)
            word_stem = stem_posTuple[0]
            word_posTuple = stem_posTuple[1]
            assert isinstance(word_stem, unicode)
            assert isinstance(word_posTuple, tuple)

            print(u'word_stem:{} word_pos:{}'.format(word_stem,
                                                     ' '.join(word_posTuple)))