NLP - Sentiment Analysis Advanced
You want to analyze the sentiment of a list of sentences using VADER and return only those with a compound score above 0.5. Which code snippet correctly implements this?
You want to analyze the sentiment of a list of sentences using VADER and return only those with a compound score above 0.5. Which code snippet correctly implements this?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand filtering by compound score
We want sentences where compound score > 0.5, so we call polarity_scores(s) and check ['compound'].Step 2: Check list comprehension syntax
results = [s for s in sentences if analyzer.polarity_scores(s)['compound'] > 0.5] correctly filters sentences by compound score. Others have syntax or logic errors.Final Answer:
results = [s for s in sentences if analyzer.polarity_scores(s)['compound'] > 0.5] -> Option BQuick Check:
Filter sentences by compound > 0.5 [OK]
Quick Trick: Use polarity_scores(s)['compound'] in list comprehension [OK]
Common Mistakes:
MISTAKES- Using polarity_scores without calling it
- Comparing dict to number
- Filtering by wrong score like 'neg'
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