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In a topic modeling pipeline, you set num_topics=15 but the model returns only 10 topics. What could be the reason?

medium📝 Debug Q7 of 15
NLP - Topic Modeling
In a topic modeling pipeline, you set num_topics=15 but the model returns only 10 topics. What could be the reason?
AThe input data has only 10 documents
BThe number of features is less than 15
CSome topics have zero assigned documents and are dropped
DThe model randomly reduces topics during training
Step-by-Step Solution
Solution:

  1. Step 1: Understand topic assignment

    Topics with no documents assigned can be dropped or merged, reducing effective topic count.

  2. Step 2: Evaluate other options

    Number of documents or features does not limit topic count directly; model does not randomly reduce topics.

  3. Final Answer:

    Some topics have zero assigned documents and are dropped -> Option C

  4. Quick Check:

    Missing topics = zero-document topics dropped [OK]
Quick Trick: Topics with no documents may be removed automatically [OK]
Common Mistakes:
MISTAKES
  • Assuming model randomly changes topic count
  • Confusing document count with topic count
  • Ignoring empty topic removal

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