[Solved] Why does this code raise an error? coherence_model = CoherenceModel(topics=lda_model.... Why does this code raise an error? | NLP

NLP - Topic Modeling

Why does this code raise an error?

coherence_model = CoherenceModel(topics=lda_model.print_topics(), texts=tokenized_texts, dictionary=dictionary, coherence='c_v')
score = coherence_model.get_coherence()

Atexts parameter is missing

Bprint_topics() returns strings, not list of word lists

Cdictionary parameter is invalid

Dcoherence type 'c_v' is unsupported

Step-by-Step Solution

Solution:

Step 1: Understand print_topics() output
print_topics() returns formatted strings, but CoherenceModel expects list of word lists for topics.
Step 2: Check other parameters
Texts and dictionary are provided correctly, 'c_v' is supported coherence type.
Final Answer:
print_topics() returns strings, not list of word lists -> Option B
Quick Check:
print_topics() output incompatible with CoherenceModel [OK]

Quick Trick: Use list of word lists for topics, not print_topics() strings [OK]

Common Mistakes:

MISTAKES

Passing string topics instead of word lists
Missing texts parameter
Misunderstanding coherence type support

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Why does this code raise an error?

Step 1: Understand print_topics() output

Step 2: Check other parameters

Final Answer:

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