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Related Questions
- What are the key differences between Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) topic modeling algorithms?
- How can topic modeling be used to identify emerging trends and patterns in consumer behavior?
- Can you explain the concept of dimensionality reduction in topic modeling and its significance in market research?
- How do topic modeling algorithms handle out-of-vocabulary words and rare events?
- What are some common applications of topic modeling in market research, such as product recommendation and customer segmentation?
- How can topic modeling be used to analyze and visualize large datasets, such as social media posts and customer reviews?
- What are some challenges and limitations of using topic modeling in market research, and how can they be addressed?
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