Training Parameters

The system uses the following batch configurations:

param_combinations = [
   (4, 2000, 10, 200),   # (num_topics, chunksize, passes, iterations)
   (8, 2000, 10, 400),
   (12, 2000, 20, 200),
   (16, 2000, 20, 400),
   (20, 2000, 20, 400),
   (24, 2000, 20, 400)
]

Why Gensim?

Gensim was chosen for this implementation because it offers:

• Memory-efficient processing of large text corpora
• Built-in support for streaming large datasets
• Robust implementation of LDA with:
  • Automatic hyperparameter optimization
  • Multi-core processing support
  • Comprehensive model evaluation metrics
• Integration with pyLDAvis for interactive visualization
• Built-in support for model persistence and loading