In Python natural language processing, how do I log effectively?

Python, Natural Language Processing, Log Effectively, Logging in Python
Learn how to log effectively in Python for natural language processing tasks, including techniques and best practices.
import logging # Set up basic configuration for logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Example of logging messages in a natural language processing context def process_text(text): logging.info("Starting to process the text.") # Imagine some processing happens here logging.debug(f"Processing the following text: {text}") if not text: logging.warning("Received empty string for processing.") return None result = text.lower() # Example processing logging.info("Text processing completed successfully.") return result if __name__ == "__main__": sample_text = "Hello World" processed_text = process_text(sample_text) print(processed_text)

Python Natural Language Processing Log Effectively Logging in Python

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