fixed N/A bug

textclassifier/TextClassifier.py

@@ -112,7 +112,7 @@ class TextClassifier:
         # Sometimes GPT-3 gives faulty results, so a simple filter is introduced
         # If the prediction is bad
         # -> set target value to N/A (not applicable)
-        if len(analyzed_sentiment) > 10:
+        if len(analyzed_sentiment) > 50:
             analyzed_sentiment = "N/A"
 
         # An attempt to merge target responses that should be the same
@@ -174,8 +174,8 @@ if __name__ == "__main__":
 
     warnings.simplefilter(action='ignore', category=FutureWarning)
     pd.set_option('display.max_columns', None)
-    tc = TextClassifier(model_name="text-davinci-002", from_date='2022-07-01',
-                        to_date=str(date.today()), user_name='jimmieakesson', num_tweets=15)
+    tc = TextClassifier(model_name="text-davinci-002", from_date='2022-01-01',
+                        to_date=str(date.today()), user_name='jimmieakesson', num_tweets=60)
     print(tc)
     # df = tc.classify_sentiment_of_tweets("jimmieakesson")
     # print(df)