[Solved] Consider this code for domain-specific sentiment:domain_lexicon = {'happy': 2, 'sad': -2, 'neutral': 0} text = 'I am happy but also sad' scores = [domain_lexicon[word] for word in text.lower().... | NLP

NLP - Sentiment Analysis Advanced

Consider this code for domain-specific sentiment:

domain_lexicon = {'happy': 2, 'sad': -2, 'neutral': 0}
text = 'I am happy but also sad'
scores = [domain_lexicon[word] for word in text.lower().split() if word in domain_lexicon]
print(sum(scores))

What is the printed output?

A0

B2

C-2

DNone

Step-by-Step Solution

Solution:

Step 1: Extract words present in domain_lexicon
Words 'happy' and 'sad' are in the lexicon with scores 2 and -2.
Step 2: Sum the scores
Sum = 2 + (-2) = 0.
Final Answer:
0 -> Option A
Quick Check:
Sum of positive and negative scores = 0 [OK]

Quick Trick: Sum only known words' scores for sentiment [OK]

Common Mistakes:

MISTAKES

Including words not in lexicon
Forgetting to sum
Assuming output is None

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Consider this code for domain-specific sentiment:

Step 1: Extract words present in domain_lexicon

Step 2: Sum the scores

Final Answer:

Quick Check:

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