Text Processing
Text processing is a computational concept involving the manipulation, analysis, and transformation of textual data using algorithms and tools. It encompasses tasks like parsing, tokenization, pattern matching, and natural language understanding to extract meaningful information from unstructured text. This foundational skill is essential for applications ranging from data cleaning to advanced AI systems.
Developers should learn text processing for tasks involving data extraction, search functionality, and automation in fields like data science, web scraping, and content management. It's crucial when building chatbots, implementing search engines, or processing logs and documents, as it enables efficient handling of large volumes of text data and improves system intelligence.