removed some more

textclassifier/TextClassifier.py

@@ -59,30 +59,6 @@ class TextClassifier:
         # self.api_key = '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'
         openai.api_key = OPENAI_API_KEY
 
-    @staticmethod
-    def cleanup_sentiment_results(classification_unclean):
-        """
-        Cleans up the results of the sentiment classification.
-        :param classification_unclean: string of the classification result.
-        :return: cleaned up string.
-        """
-        classification_clean = classification_unclean.replace('\n\n', "")
-        classification_clean = classification_clean.replace('\n', "")
-        if classification_clean.startswith(" "):
-            classification_clean = classification_clean.replace(" ", "")
-
-        return classification_clean
-
-    def classify_topics_of_tweets(self):
-        """
-        Classifies the topics of a user's tweets.
-        """
-        df_topic = self.df.copy()
-        df_topic['topics'] = df_topic['tweet'].apply(self.classify_topic)
-        self.df = df_topic
-        self.split_topics_into_columns()
-        return self.df
-
     def classify_all(self, tweet: str):
         """
         Classifies the topic, subtopic, sentiment and target of a user's tweets.