code: def sentiment_classify(self, texts):
      results = []
      for text in texts:
          sentiment = "positive"
          for word in self.vocab:
              if word in text:
                  sentiment = "negative"
                  break
          results.append({"text": text, "sentiment": sentiment})
  
      return results
  
file_path: PaddleHub/modules/demo/senta_test/module.py
imports: import argparse
  import os
  import paddlehub
  from paddlehub.module.module import runnable, moduleinfo
  from senta_test.processor import load_vocab
label_desc: Use image node_id 2 for calling the SentaTest obj's underlying member method code with example usage: obj.sentiment_classify(texts) and returns: results