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Why does pyLDAvis use multidimensional scaling (MDS) to position topic circles in the visualization?

hard📝 Conceptual Q10 of 15
NLP - Topic Modeling
Why does pyLDAvis use multidimensional scaling (MDS) to position topic circles in the visualization?
ATo sort topics by their most frequent words
BTo reduce high-dimensional topic distances to 2D for easy visualization
CTo calculate topic prevalence scores
DTo cluster topics into groups automatically
Step-by-Step Solution
Solution:

  1. Step 1: Understand purpose of MDS in pyLDAvis

    MDS reduces complex high-dimensional distances between topics to two dimensions.

  2. Step 2: Explain visualization benefit

    This allows topics to be shown as circles on a 2D plane preserving relative distances.

  3. Final Answer:

    To reduce high-dimensional topic distances to 2D for easy visualization -> Option B

  4. Quick Check:

    MDS = Dimensionality reduction for 2D plot [OK]
Quick Trick: MDS reduces topic distances to 2D for plotting [OK]
Common Mistakes:
MISTAKES
  • Thinking MDS clusters topics
  • Confusing MDS with prevalence calculation
  • Assuming MDS sorts topics by words

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