input: from typing import List
  
  
  def classify_text(texts: List[str]) -> List[str]:
      """Given a list of texts, classify each text into 'positive' or 'negative' using a NaiveBayesClassifier.
      >>> classify_text(["This is a great movie!", "This movie was terrible"])
      ['positive', 'negative']
      """
output:     from textblob.classifiers import NaiveBayesClassifier
      from textblob import TextBlob
  
      training_data = [
          ('This is a great movie!', 'positive'),
          ('This movie was terrible', 'negative'),
          ('I loved this movie', 'positive'),
          ('This was the worst movie ever', 'negative')
      ]
  
      classifier = NaiveBayesClassifier(training_data)
  
      return [classifier.classify(TextBlob(text)) for text in texts]