code: def is_positive(self, input_text: str) -> bool:
      start = time.perf_counter()
      scores = [
          self.sia.polarity_scores(sentence)["compound"]
          for sentence in nltk.sent_tokenize(input_text)
      ]
      inference_duration.labels(
          nltk_version=nltk.__version__,
          sentiment_cls=self.sia.__class__.__name__,
      ).observe(time.perf_counter() - start)
      return mean(scores) > 0
  
label_desc: Use image node_id 2 for calling the NLTKSentimentAnalysisRunnable obj's underlying member method code with example usage: obj.is_positive(input_text) and returns: unknown