Update tweet_analyzer.py

tweet_analyzer.py

@@ -116,7 +116,8 @@ class TweetDatasetProcessor:
             nmf_model.fit(tfidf_matrix)
             topics = [] 
             for topic_idx, topic in enumerate(nmf_model.components_): 
-               topic_words = [vectorizer.get_feature_names_out()[i] for i in topic.argsort()[:-n_topics - 1:-1]] 
+               topic_words = [vectorizer.get_feature_names_out()[i]
+            for i in topic.argsort()[:-n_topics - 1:-1]] 
                topics.append(" ".join(topic_words)) 
             return topics