Review the following articles for best practices for natural language processing (NLP) in , including such operations as configuring and training text analytics models, using the NLP Sample application and the text analytics APIs.

• NLP outcomes database tables
• Machine-learning models for text analytics
• Creating entity extraction rules for text analytics
• Providing feedback to text analytics models
• Definition class of text analytics Decision Data rules
• Intelligent interaction in text analytics
• Feedback loop for text analysis
• Training data size considerations for building text analytics models
• Learning natural language processing with NLP Sample
• Text Analytics APIs