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Related Questions
- How do governments use natural language processing (NLP) to analyze policy documents and identify key themes and trends?
- What are some examples of NLP applications in government policy analysis, such as sentiment analysis and entity recognition?
- Can you explain how NLP is used to summarize lengthy policy documents and reports for policymakers and stakeholders?
- How do governments use NLP to analyze public comments and feedback on policy proposals?
- What are some challenges and limitations of using NLP in government policy analysis, and how are they being addressed?
- Can you discuss the role of NLP in supporting evidence-based policymaking and decision-making in government?
- How do governments use NLP to analyze and compare different policy documents and reports, and what insights can be gained from this analysis?
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