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If you run topic modeling with different numbers of topics and plot coherence scores, which number of topics should you choose?

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NLP - Topic Modeling
If you run topic modeling with different numbers of topics and plot coherence scores, which number of topics should you choose?
AThe smallest number of topics tested
BThe number with the highest coherence score
CThe largest number of topics tested
DThe number with the lowest coherence score
Step-by-Step Solution
Solution:
  1. Step 1: Understand coherence score meaning

    Higher coherence means topics are more meaningful and interpretable.
  2. Step 2: Choose topic number based on score

    Select the number of topics that yields the highest coherence score for best quality.
  3. Final Answer:

    The number with the highest coherence score -> Option B
  4. Quick Check:

    Best topic count = Highest coherence score [OK]
Quick Trick: Pick topic count with highest coherence score [OK]
Common Mistakes:
MISTAKES
  • Choosing smallest or largest topic number blindly
  • Ignoring coherence scores
  • Selecting lowest coherence score

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