laptop commit fixed naive baise

code.py

@@ -33,8 +33,13 @@ def calc_word_count(in_path, expected_path):
             text = text.lower()
             text = re.sub(r'\\n+', " ", text)
             text = re.sub(r'http\S+', " ", text)
-            #text = re.sub(r'(\s+|\\n)', ' ', text)
-            #text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\/[a-z]\/', " ", text)
+            text = re.sub(r'[^a-z]', " ", text)
+            text = re.sub(r'\s{2,}', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'^\s', "", text)
             tokens = text.split(' ')
             for token in tokens:
                 if class_ == '1':

code_prediction.py

@@ -6,13 +6,8 @@ import re
 open_file = open('naive_base_model.pkl', 'rb')
 pickle_loaded = pickle.load(open_file)
 paranomal_class_logprob, skeptic_class_logprob, word_logprobs = pickle_loaded
-#pickle_loaded=pickle.load(open_file)
-#paranomal_class_logprob, skeptic_class_logprob, word_logprobs = pickle_loaded
-#Niektórych słów nie bezie w zbiorze treningowym dev-0 i dev-A
 def prediction(input,output):
     output_file = open(output,'w')
-    #pickle_load = pickle.load(open('naive_base_model.pkl', 'rb'))
-    #paranormal_class_logprob, skeptic_class_logprob, word_logprob = pickle_load
     with open(input,encoding='utf-8') as in_file:
         for line in in_file:
             temp_paranormal_logprob = paranomal_class_logprob
@@ -21,8 +16,13 @@ def prediction(input,output):
             text = text.lower()
             text = re.sub(r'\\n+', " ", text)
             text = re.sub(r'http\S+', " ", text)
-            #text = re.sub(r'(\s+|\\n)', ' ', text)
-            #text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\/[a-z]\/', " ", text)
+            text = re.sub(r'[^a-z]', " ", text)
+            text = re.sub(r'\s{2,}', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'\W\w{1,3}\W|\A\w{1,3}\W', " ", text)
+            text = re.sub(r'^\s', "", text)
             tokens = text.split(' ')
             for token in tokens:
                 if token not in word_logprobs['paranormal']: