[Solved] You want to use LDA to find 3 topics in a large collection of news articles.... What is a good way to improve topic separation? | NLP

NLP - Topic Modeling

You want to use LDA to find 3 topics in a large collection of news articles. After training, you notice one topic has very similar words to another topic. What is a good way to improve topic separation?

ARemove stopwords and rare words before training

BReduce the number of topics to 1

CUse the same model but increase training iterations

DIncrease the number of topics and retrain the model

Step-by-Step Solution

Solution:

Step 1: Understand why topics overlap
Overlapping topics often happen because common words or noise confuse the model, making topics less distinct.
Step 2: Improve data quality before training
Removing stopwords (common words) and rare words helps the model focus on meaningful words, improving topic separation.
Step 3: Evaluate other options
Increasing topics may worsen overlap; reducing topics to 1 loses topic diversity; more iterations alone won't fix noisy data.
Final Answer:
Remove stopwords and rare words before training -> Option A
Quick Check:
Clean data improves topic separation [OK]

Quick Trick: Clean data by removing stopwords to get clearer topics [OK]

Common Mistakes:

MISTAKES

Increasing topics without cleaning data
Reducing topics too much losing detail
Ignoring data preprocessing importance

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More NLP Quizzes

What is a good way to improve topic separation?

Step 1: Understand why topics overlap

Step 2: Improve data quality before training

Step 3: Evaluate other options

Final Answer:

Quick Check:

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