Change to 50%

news_classify_tag.py

@@ -5,7 +5,6 @@ import nltk
 import numpy as np
 import _mysql
 
-
 # noinspection PyUnresolvedReferences
 class Classifier:
     def __init__(self, corpus=None, host='176.58.117.151', user='esi', password='esi12345', db='esi', port=3306):
@@ -163,7 +162,7 @@ class Classifier:
         # exit(0)
 
     @property
-    def tag_accordance(self, persantage=10):
+    def tag_accordance(self, persantage=50):
         """
         Class method for computing % af tag accordance 
         :return: tuple of % af tag accordance
@@ -179,7 +178,8 @@ class Classifier:
             if item[1] < persantage / 100: continue
             # print (item[0], item[1], self.tags[item[0] - 1][1].decode ("ascii", 'ignore'),  end=", ")
             vector_accordance.append(
-                (item[0], int(item[1] * 1000) / 10, self.tags[item[0] - 1][1].decode("ascii", 'ignore')))
+                (item[0], int(item[1] * 1000) / 10,
+                 self.tags[item[0] - 1][1].decode("ascii", 'ignore')))
 
         return vector_accordance
 

requirements.txt

+spacy
 DateTime==4.2
 mysqlclient==1.3.10
 nltk==3.2.4