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)
```
