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setfit-twitter-data-sentiment-analysis

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pikaduck commited on Feb 26, 2023

Commit

f364968

1 Parent(s): 6cf89af

added download of nltk resources in predict_ml.py

Files changed (1) hide show

predict_ml.py CHANGED Viewed

@@ -17,10 +17,10 @@ import emoji
 from paths import COUNT_VECTORIZER_PATH, TFIDF_VECTORIZER_PATH, NB_MODEL_PATH as MODEL_PATH
-# nltk.download('punkt')
-# nltk.download('omw-1.4')
-# nltk.download('stopwords')
-# nltk.download('wordnet')
 stops = stopwords.words('english')
 negatives = ['no','nor','not','ain','aren',"aren't",'couldn',"couldn't",'didn',"didn't",'doesn',"doesn't",'hadn',"hadn't",'hasn',

 from paths import COUNT_VECTORIZER_PATH, TFIDF_VECTORIZER_PATH, NB_MODEL_PATH as MODEL_PATH
+nltk.download('punkt')
+nltk.download('omw-1.4')
+nltk.download('stopwords')
+nltk.download('wordnet')
 stops = stopwords.words('english')
 negatives = ['no','nor','not','ain','aren',"aren't",'couldn',"couldn't",'didn',"didn't",'doesn',"doesn't",'hadn',"hadn't",'hasn',