[Solved] Consider this Python code:domain_lexicon = {'excellent': 2, 'poor': -2, 'average': 0} text = 'The service was excellent but the food was poor' score = sum(domain_lexicon.get(word, 0) for word in text.... | NLP

NLP - Sentiment Analysis Advanced

Consider this Python code:

domain_lexicon = {'excellent': 2, 'poor': -2, 'average': 0}
text = 'The service was excellent but the food was poor'
score = sum(domain_lexicon.get(word, 0) for word in text.lower().split())
print(score)

What will be the output of this code?

ANone

B2

C-2

D0

Step-by-Step Solution

Solution:

Step 1: Tokenize and map words
Words: 'the', 'service', 'was', 'excellent', 'but', 'the', 'food', 'was', 'poor'
Step 2: Lookup scores
'excellent' = 2, 'poor' = -2, others = 0
Step 3: Sum scores
2 + (-2) + 0 = 0
Final Answer:
0 -> Option D
Quick Check:
Positive and negative cancel out [OK]

Quick Trick: Sum sentiment scores of words in text [OK]

Common Mistakes:

MISTAKES

Assuming only positive words count
Ignoring negative word scores
Not handling words missing in lexicon

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More NLP Quizzes

Consider this Python code:

Step 1: Tokenize and map words

Step 2: Lookup scores

Step 3: Sum scores

Final Answer:

Quick Check:

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