LDA requires labeled training data where each document is al…

LDA requires labeled training data where each document is already categorized into predefined topics. ✅ False Explanation:LDA is an unsupervised learning method, meaning it does not require labeled data. Instead of assigning documents to predefined categories, it discovers hidden topics in the text by identifying word co-occurrence patterns.

In LDA, the number of topics (K) is automatically determined…

In LDA, the number of topics (K) is automatically determined by the model and does not need to be manually specified. ✅ False Explanation:The number of topics (K) must be chosen manually before running LDA. Businesses experiment with different values of K to find the best balance between broad and specific topics in their analysis.