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What will this code output when using an advanced sentiment model that handles negations?

medium📝 Predict Output Q5 of 15
NLP - Sentiment Analysis Advanced
What will this code output when using an advanced sentiment model that handles negations? ```python text = "I don't think this product is bad." negation_words = ['not', "don't", 'never'] base_score = -0.5 # 'bad' sentiment if any(word in text for word in negation_words): adjusted_score = -base_score else: adjusted_score = base_score print(adjusted_score) ```
A0
B0.5
C-0.5
D1
Step-by-Step Solution
Solution:
  1. Step 1: Check for negation words in text

    "don't" is in the text, so condition is True.
  2. Step 2: Adjust sentiment score by negation

    Adjusted score = -(-0.5) = 0.5
  3. Final Answer:

    0.5 -> Option B
  4. Quick Check:

    Negation flips sentiment score = 0.5 [OK]
Quick Trick: Negations flip sentiment polarity in advanced models [OK]
Common Mistakes:
MISTAKES
  • Ignoring negation presence
  • Not flipping the sign of the score
  • Confusing negation words with positive words

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