def test_with_labeled_state(data_filename,replacer, classifier, bow,tfidf):
data = pd.read_csv(data_filename)
bow_transformer = joblib.load(bow)
tfidf_transformer = joblib.load(tfidf)
classifier = joblib.load(classifier)
data_labels = data['state'].tolist()
data_texts = data['content']
#preprocess data
worker = Worker(bow = bow_transformer,tfidf = tfidf_transformer)
word_list = preprocess(data_texts, replacer)
text_vectors_list = worker.content_to_vectors(word_list)
#test model
pred = classifier.predict(text_vectors_list)
worker.calculate_result(data_labels,pred)
