def detect_unigrams(self):
prp = PhrasesRequirementProcessor()
cut_of_segmented_reports, \
topics = prp.generate_corpus_from_segmented_reports
aggregated_topics = \
prp.aggregate_topics_of_segmented_reports(cut_of_segmented_reports,
topics)
dict_of_sentences_by_topic = \
prp.organize_aggregated_topics_by_dict(aggregated_topics,
topics)
tagged_unigrams_by_topic = prp.tag_unigrams_by_topic(
dict_of_sentences_by_topic)
nouns_unigrams_by_topic = \
prp.generate_nouns_unigrams_by_topic(tagged_unigrams_by_topic)
none_unigrams_by_topic = \
prp.generate_none_unigrams_by_topic(tagged_unigrams_by_topic)
dict_model_by_topic, \
tagger_accuracy_by_topic = \
prp.create_a_dict_model_for_test_accuracy(tagged_unigrams_by_topic)
run_time_most_frequent_nouns_unigrams_by_topic = \
prp.create_most_frequent_nouns_unigrams_by_topic(nouns_unigrams_by_topic)
run_time_wordtypes_of_none_unigrams_by_topic = prp.create_wordtypes_of_none_unigrams_by_topic(
none_unigrams_by_topic)
prp.create_unigram_set_of_nouns_and_nones(
run_time_most_frequent_nouns_unigrams_by_topic,
run_time_wordtypes_of_none_unigrams_by_topic)
prp.show_accuracy_by_topic(tagger_accuracy_by_topic)
prp.remove_pyc_and_zombie_files
def setUp(self):
self.v = Variables()
self.prp = PhrasesRequirementProcessor()
